%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% PROJECTS %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @comment{FLKR = {Foundations: Learning, Knowledge Representations, Reasoning}} @comment{ML = {Machine Learning}} @comment{KR = {Knowledge Representation and Inference}} @comment{LnI = {Learning and Inference}} @comment{NLP = {Natural Language Processing}} @comment{IIA = {Intelligent Information Access}} %% %% FLKR %% | %% DPL MCR LCC LT LP KR %% %% LnI %% | %% SI ILP SM %% %% IIA %% | %% IE LV MIRROR NE QA KINDLE %% %% NLP %% | %% LNLP CSD SP @comment{CSD = {Context Sensitive Disambiguation}} @comment{DPL = {Discriminative and Probabilistic Learning}} @comment{LNLP = {Learning in NLP}} @comment{IE = {Information Extraction}} @comment{ILP = {Integer Linear Programming Inference}} @comment{KR = {Relational Knowledge Representations and Kernels}} @comment{LBP = {Learning Based Programming}} @comment{LCC = {Learning Coherent Concepts}} @comment{LINL = {Learning and Inference in Natural Language}} @comment{LV = {Learning for Visual Recognition}} @comment{LP = {Learning Protocols}} @comment{LT = {Learning Theory}} @comment{KINDLE = {Knowledge Representation and Inference for Natural Language using Feature Description Logic}} @comment{MCR = {Multiclass Classification and Ranking}} @comment{MIRROR = {Mirroring Entities: Name Identification and Tracing}} @comment{NE = {Named Entity Recognition}} @comment{NLP = {Natural Language Processing}} @comment{QA = {Question Answering Systems}} @comment{SI = {Sequential Inference}} @comment{SM = {Structural Mapping}} @comment{SP = {Semantic Parsing}} @comment{PHRASENET = {PhraseNet}} %% NEW PROJECTS (2008) @comment{USS = {Unsupervised and Semi-supervised Learning}} @comment{DC = {Dataless Classification}} @comment{AL = {Active and Interactive Learning}} @comment{RANK = {Learning to Rank}} @comment{ADAPT = {Adaptation}} @comment{PL = {Pipeline Models}} @comment{MC = {Multiclass Classification}} @comment{PASTML = {Past Projects}} @comment{FOPI = {First-order Probabilistic Inference}} @comment{KRNLP = {Knowledge Representation for Natural Language}} @comment{CCM = {Constrained Conditional Models}} @comment{LBP = {Learning Based Programming}} @comment{SRL = {Semantic Parsing (Semantic Role Labeling)}} @comment{TE = {Semantic Entailment and Question Answering}} @comment{COREF = {Cofereference Within and Across Documents}} @comment{DP = {Dependency Parsing}} @comment{COMP = {Natural Language Comprehension in Context}} @comment{PSYCHO = {Psycholinguistics}} @comment{TL = {Transliteration}} @comment{LS = {Lexical Semantics}} @comment{PASTNLP = {Past Projects}} @comment{IE = {Information Extraction}} @comment{NER = {Named Entities and Relations}} @comment{SEARCH = {NLP Based Search}} @comment{TRUST = {Trustworthiness}} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% PACKAGES %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @comment{SNOW = {SNoW}} @comment{FEX = {FEX}} @comment{POS = {POS Tagger}} @comment{NE = {NE Tagger}} @comment{SP = {Shallow Parser}} @comment{SRL = {Semantic Role labeling}} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% JOURNALS %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @string{AI = {Artificial Intelligence}} @string{CACM = {Communications of the ACM}} @string{CSL = {Computer Speech and Language}} @string{CL = {Computational Linguistics}} @string{InfCtrl = {Information and Control}} @string{IT = {IEEE Transactions on information theory}} @string{JACM = {Journal of the ACM}} @string{JAIR = {Journal of AI Research}} @string{JMLR = {Journal of Machine Learning Research}} @string{ML = {Machine Learning}} @string{NLE = {Journal of Natural Language Engineering}} @string{MM = {IEEE Transactions on Multimedia}} @string{PAMI = {IEEE Transactions on Pattern Analysis and Machine Intelligence}} @string{SIJAD = {SIAM Journal of Algebraic and Discrete Methods}} @string{SIJC = {SIAM Journal of Computing}} @string{TASSP = {IEEE Transactions on Acoustics, speech, and Signal Processing}} @string{TASSP = {IEEE Transactions on Acoustics, speech, and Signal Processing}} @string{TCS = {Theoretical Computer Science}} @string{DCG = {Discrete and Computational Geometry}} @string{CGTA = {Computational Geometry: Theory and Applications}} @string{JALG = {Journal of Algorithms}} @string{MLJ = {Machine Learning Journal}} @string{IJCGA = {The International Journal of Computational Geometry and Applications }} @string{jnle = {Journal for Natural Language Engineering"}} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% CONFERENCES %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @string{AAAI= {Proceedings of the National Conference on Artificial Intelligence (AAAI)}} @string{ANLP = {Proceedings of ACL Conference on Applied Natural Language Processing}} @string{ARPA = {Proceedings of the ARPA Workshop on Human Language Technology}} @string{ACCV = {Proceedings of the Asian Conference on Computer Vision (ACCV)}} @string{AISTAT = {Proceedings of the International Workshop on Artificial Intelligence and Statistics}} @string{ALT = {Proceedings of the International Workshop on Algorithmic Learning Theory (ALT)}} @string{COLING = {Proceedings the International Conference on Computational Linguistics (COLING)}} @string{ACL = {Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)}} @string{EACL = {Proceedings of the European Chapter of the ACL (EACL)}} @string{COLT = {Proceedings of the Annual ACM Workshop on Computational Learning Theory (COLT)}} @string{CoNLL = {Proceedings of the Annual Conference on Computational Natural Language Learning (CoNLL)}} @string{CVPR = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}} @string{DARPA = {Proceedings of the DARPA Workshop on Speech and Natural Language}} @string{ECML = {Proceedings of the European Conference on Machine Learning (ECML)}} @string{FOCS = {IEEE Symp. of Foundation of Computer Science}} @string{ECCV = {Proceedings of the European Conference on Computer Vision (ECCV)}} @string{IAAI= {Proceedings of the National Conference on Innovative Applications of Artificial Intelligence (IAAI)}} @string{ICML = {Proceedings of the International Conference on Machine Learning (ICML)}} @string{ICASSP = {Proceedings of ICASSP}} @string{IJCAI = {Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)}} @string{IJCNLP = {Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP)}} @string{ILP = {Proceedings of the International Conference Inductive Logic Programming}} @string{IPW = {Proceedings of the International Parsing Workshop}} @string{IWPT = {Proceedings of the International Workshop of Parsing Technology}} @string{IT = {IEEE Transactions on Information Theory}} @string{ISMB = {The International Conference on Intelligent Systems for Molecular Biology}} @string{LREC = {Proceedings of the International Conference on Language Resources and Evaluation}} @string{KR = {Proceedings of the International Conference on the Principles of Knowledge Representation and Reasoning}} @string{NAACL = {Proceedings of the Annual Meeting of the North American Association of Computational Linguistics (NAACL)}} @string{NIPS = {The Conference on Advances in Neural Information Processing Systems (NIPS)}} @string{SIGIR = {Proceedings of International Conference on Research and Development in Information Retrieval, SIGIR}} @string{SIGDAT = {Proceedings of the Conference on Empirical Methods for Natural Language Processing (EMNLP)}} @string{EMNLP = {Proceedings of the Conference on Empirical Methods for Natural Language Processing (EMNLP)}} @string{STOC = {ACM Symp. of the Theory of Computing}} @string{TMI = {Proceedings of the International Conference on Theoretical and Methodological Issues in Machine Translation}} @string{UWOED = {Proceedings of the Annual Conference of the UW Center for the New OED and Text Research}} @string{JACM = {Journal of the ACM}} @string{WWW = {The International World Wide Web Conference}} @string{HLT-EMNLP = {Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing}} @string{UAI = {Proceedings of Uncertainty in Artificial Intelligence (UAI)}} @string{CIKM = {Proceedings of ACM Conference on Information and Knowledge Management (CIKM)}} @string{KDD = {Proceedings of International Conference on Knowledge Discovery and Data Mining (KDD)}} @string{ICDM = {IEEE International Conference on Data Mining(ICDM)}} @string{SODA = {ACM SIAM Symposium on Discrete Algorithms(SODA)}} @string{SOCG = {Annual Symposium on Computational Geometry}} @string{WADS = {Algorithms and Data Structures Symposium}} @string{SWAT = {Scandinavian Workshop on Algorithm Theory}} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% PUBLISHERS %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @string{Cambridge = {Cambridge University Press}} @string{Benjamin = {Benjamin/Cummings Publishing Company, Inc.}} @string{MIT = {MIT Press}} % @INPROCEEDINGS{AABRS99, author = {Elias Abboud and Nader Agha and Nader H. Bshouty and Nizar Radwan and Fathi Saleh}, title = {Learning threshold functions with small weights using membership queries}, booktitle = COLT, year = 1999, pages = {318--322}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AABV99, author = {P. K. Agarwal and L. Arge and G. Brodal and J. S. Vitter}, title = {I/O-efficient dynamic point location in monotone subdivisions}, booktitle = SODA, year = 1999, pages = {11--20} } @INPROCEEDINGS{AACFKLSS97, author = {Andris Ambainis and Kalvis Aps{\=i}tis and Cristian Calude and R{\=u}si{\c n}{\v s} Freivalds and Marek Karpinski and Tomas Larfeldt and Iveta Sala and Juris Smotrovs}, title = {Effects of {K}olmogorov complexity present in inductive inference as well}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {244--259}, publisher = {Springer-Verlag} } @ARTICLE{AACS98, author = {P. K. Agarwal and B. Aronov and T. M. Chan and M. Sharir}, title = {On Levels in Arrangements of Lines, Segments, Planes, and Triangles}, journal = DCG, year = 1998, volume = 19, pages = {315--331} } @ARTICLE{AAEFV00, author = {P. K. Agarwal and L. Arge and J. Erickson and P. G. Franciosa and J. S. Vitter}, title = {Efficient Searching with Linear Constraints}, journal = {Journal of Computer and System Sciences}, year = 2000, volume = 61, pages = {194--216}, number = 2, annote = {{728}} } @INPROCEEDINGS{AAFGS97, author = {Andris Ambainis and Kalvis Aps{\=i}tis and R{\=u}si{\c n}{\v s} Freivalds and William Gasarch and Carl H. Smith}, title = {Team learning as a game}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {2--17}, publisher = {Springer-Verlag} } @ARTICLE{AAFHS99, author = {Kalvis Apsitis and Setsuo Arikawa and Rusins Freivalds and Eiju Hirowatari and Carl H. Smith}, title = {On the inductive inference of recursive real-valued functions}, journal = {Theoret. Comput. Sci.}, year = 1999, volume = 219, pages = {3--17}, number = {1/2} } @ARTICLE{AAHS00, author = {P. K. Agarwal and B. Aronov and S. {Har-Peled} and M. Sharir}, title = {Approximation and Exact Algorithms for Minimum-Width Annuli and Shells}, journal = DCG, year = 2000, volume = 24, pages = {687--705}, number = 4, url = {http://www.uiuc.edu/~sariel/research/papers/98/min_width_annulus.html} } @INPROCEEDINGS{AAHS99, author = {P. K. Agarwal and B. Aronov and S. {Har-Peled} and M. Sharir}, title = {Approximation and Exact Algorithms for Minimum-Width Annuli and Shells}, booktitle = SOCG, year = 1999, pages = {380--389} } @INPROCEEDINGS{AAHSW98, author = {A. Andrzejak and B. Aronov and S. {Har-Peled} and R. Seidel and E. Welzl}, title = {{Results on $k$-sets and $j$-facets via continuous motion arguments}}, booktitle = SOCG, year = 1998, pages = {192--199} } @ARTICLE{AAOS97, author = {P. K. Agarwal and B. Aronov and J. O'Rourke and C. A. Schevon}, title = {Star Unfolding of a Polytope with Applications}, journal = SICOMP, year = 1997, volume = 26, pages = {1679--1713}, keywords = {motion planning, shortest paths, polytopes, diameter, edge sequences, unfolding of polytopes} } @INBOOK{AAYK97, chapter = 18, pages = {323--336}, title = {Learning verb translation rules from ambiguous examples and a large semantic hierarchy}, publisher = {MIT Press}, year = 1997, author = {Hussein Almuallim and Yasuhiro Akiba and Takefumi Yamazaki and Shigeo Kaneda}, volume = {IV: Making Learning Systems Practical}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{ABBBDDDGEFJLMMNNPSSCW87, author = {A. Averbuch and L. Bahl and R. Bakis and P. Brown and G. Dagget and S. Das and K. Davies and S. De Gennaro and P. deSouza and E. Epstein and D. Fraleigh and F. Jelinek and B. Lewis and R. Mercer and J. Moorhead and A. Nadas and D. Nahamoo and M. Picheny and G. Shichman and P. Spinelli and D. Van Compernolle and H. Wilkens}, title = {Experiments with the Tangora 20,000 word speeech recognizer}, booktitle = ICASSP, year = 1987 } @INPROCEEDINGS{ABBGH99, author = {P. K. Agarwal and J. Basch and M. de Berg and L. J. Guibas and J. Hershberger}, title = {Lower Bounds for Kinetic Planar Subdivisions}, booktitle = SOCG, year = 1999, pages = {247--254} } @INPROCEEDINGS{ABCGST99, author = {T. Asano and M. de Berg and O. Cheong and L. J. Guibas and J. Snoeyink and H. Tamaki}, title = {Spanning Trees Crossing Few Barriers}, booktitle = SOCG, year = 1999, pages = {41--48} } @INPROCEEDINGS{ABCH93, author = {Noga Alon and Shai Ben-David and Nicol\`{o} Cesa-Bianchi and David Haussler}, title = {Scale-sensitive dimensions, uniform convergence, and learnability}, booktitle = {Proc. of the 34rd Annual Symposium on Foundations of Computer Science}, year = 1993, pages = {292--301}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @ARTICLE{ABCH97, author = {N. Alon and S. Ben-David and N. {Cesa-Bianchi} and D. Haussler}, title = {Scale-sensitive dimensions, uniform convergence, and learnability}, journal = JACM, year = 1997, volume = 44, pages = {615--631}, number = 4 } @INPROCEEDINGS{ABCS92, author = {M. Anthony and G. Brightwell and D. Cohen and J. Shawe-Taylor}, title = {On exact specification by examples}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {311--318}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{ABFRV88, author = {D. Angluin and L. Birnbaum and J. Feldman and R. Rivest and L. Valiant}, title = {Summary of the panel discussion}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {398--401}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INCOLLECTION{ABGHZ01, author = {P. K.~Agarwal and J. Basch and L. J.~Guibas and J. Hershberger and L. Zhang}, title = {Deformable free space tiling for kinetic collision detection}, booktitle = {Algorithmic and Computational Robotics: New Directions}, publisher = {A. K. Peters}, year = 2001, editor = {B. R. Donald and K. Lynch and D. Rus}, pages = {83--96} } @INPROCEEDINGS{ABHOSV01, author = {P. K. Agarwal and M. de Berg and S. {Har-Peled} and M. H. Overmars and M. Sharir and J. Vahrenhold}, title = {Reporting Intersecting Pairs of Polytopes in Two and Three Dimensions}, booktitle = WADS, year = 2001, editor = {F. Dehne and J. Sack and R. Tamassia}, volume = 2125, series = {{LNCS}}, pages = {122--134} } @ARTICLE{ABHOSV02, author = {P. K. Agarwal and M. de Berg and S. {Har-Peled} and M. H. Overmars and M. Sharir and J. Vahrenhold}, title = {Reporting intersecting pairs of convex polytopes in two and three dimensions}, journal = CGTA, year = 2002, volume = 23, pages = {195--207}, month = {August}, issue = 2 } @ARTICLE{ABMS98, author = {P. K. Agarwal and M. de Berg and J. Matou{\v s}ek and O. Schwarzkopf}, title = {Constructing Levels in Arrangements and Higher Order {Voronoi} Diagrams}, journal = SICOMP, year = 1998, volume = 27, pages = {654--667}, url = {http://epubs.siam.org/sam-bin/dbq/article/28184} } @ARTICLE{ABOSY89, author = {A. Aggarwal and H. Booth and J. O'Rourke and S. Suri and C. K. Yap}, title = {Finding minimal convex nested polygons}, journal = {Inform. Comput.}, year = 1989, volume = 83, pages = {98--110}, number = 1, month = oct, keywords = {packing, visibility, convex polygons, extremal figures} } @ARTICLE{ABRS99, author = {Baruch Awerbuch and Margrit Betke and Ronald L. Rivest and Mona Singh}, title = {Piecemeal Graph Exploration by a Mobile Robot}, journal = {Inform. Comput.}, year = 1999, volume = 152, pages = {155--172}, number = 2, comment = {first in COLT '95} } @INPROCEEDINGS{ACDL00, author = {N. Amenta and S. Choi and T. Dey and N. Leekha}, title = {A simple algorithm for homeomorphic surface reconstruction}, booktitle = SOCG, year = 2000, pages = {213--222} } @INPROCEEDINGS{ACFS95, author = {Peter Auer and Nicol{\`o} Cesa-Bianchi and Yoav Freund and Robert E. Schapire}, title = {Gambling in a rigged casino: the adversarial multi-armed bandit problem}, booktitle = {Proc. of the 36th Annual Symposium on Foundations of Computer Science}, year = 1995, pages = {322--331}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @BOOK{ACGKMP99, title = {Complexity and approximation}, year = 1999, author = {G. Ausiello and P. Crescenzi and G. Gambosi and V. Kann and A. Marchetti-Spaccamela and M. Protasi}, address = {Berlin}, publusher = {Springer-Verlag} } @INBOOK{ACHS94, chapter = 1, pages = {3--14}, title = {Bayes decisions in a neural network-{PAC} setting}, publisher = {MIT Press}, year = 1994, author = {Svetlana Anulova and Jorge R. Cuellar and Klaus-U. H{\"o}ffgen and Hans-U. Simon}, booktitle = {Computational Learning Theory and Natural Learning Systems II: Intersections Between Theory and Experiment} } @INPROCEEDINGS{ADFK97, author = {Andris Ambainis and Richard Desper and Martin Farach and Sampath Kannan}, title = {Nearly tight bounds on the learnability of evolution}, booktitle = {Proc. 38th Annu. IEEE Symposium on Foundations of Computer Science}, year = 1997, pages = {524--533}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{ADPR00, author = {N. Alon and S. Dar and M. Parnas and D. Ron}, title = {Testing of Clustering}, booktitle = FOCS, year = 2000, pages = {240--250}, annote = {{614}} } @INPROCEEDINGS{ADSCC07, author = {Attardi, Giuseppe and Dell'Orletta, Felice and Simi, Maria and Chanev, Atanas and Ciaramita, Massimiliano}, title = {Multilingual Dependency Parsing and Domain Adaptation using {DeSR}}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {1112--1118}, url = {http://www.aclweb.org/anthology/D/D07/D07-1119} } @INPROCEEDINGS{AEGH98, author = {P. K. Agarwal and D. Eppstein and L. J. Guibas and M. Henzinger}, title = {Parametric and kinetic minimum spanning trees}, booktitle = FOCS, year = 1998, pages = {596--605} } @ARTICLE{AEGS92, author = {B. Aronov and H. Edelsbrunner and L. J. Guibas and M. Sharir}, title = {{The number of edges of many faces in a line segment arrangement}}, journal = {Combinatorica}, year = 1992, volume = 12, pages = {261--274} } @INPROCEEDINGS{AEIS99, author = {A. Amir and A. Efrat and P. Indyk and H. Samet}, title = {Efficient Algorithms and Regular Data Structures for Dilation, Location and Proximity Problems}, booktitle = FOCS, year = 1999, pages = {160--170}, nickname = {FOCS '99} } @INPROCEEDINGS{AFHH94, author = {F. Ameur and P. Fischer and K. U. H{\"o}ffgen and F. Meyer auf der Heide}, title = {Trial and Error: a New Approach to Space-bounded Learning}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {133--144}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{AFPS92, author = {S. Anoulova and P. Fischer and S. P{\"o}lt and H. U. Simon}, title = {{PAB}-decisions for {B}oolean and real-valued features}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {353--362}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AFSS98, author = {K. Aps{\=i}tis and R. Freivalds and R. Simanovskis and J. Smotrovs}, title = {Closedness Properties in {EX}-identification of Recursive Functions}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {46--60}, publisher = {Springer-Verlag} } @INPROCEEDINGS{AFSU07, author = {Y. Amit and M. Fink and N. Srebro and S. Ullman}, title = {Uncovering shared structures in multiclass classification}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {17--24}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{AGBS98, author = {Cosimo Anglano and Attilio Giordana and Giuseppe Lo Bello and Lorenza Saitta}, title = {An experimental evaluation of coevolutive concept learning}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {19--27}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{AGHRS00, author = {P. K. Agarwal and L. J. Guibas and S. {Har-Peled} and A. Rabinovitch and M. Sharir}, title = {Penetration Depth of Two Convex Polytopes in 3D}, journal = {Nordic J. Comput.}, year = 2000, volume = 7, pages = {227--240}, number = 3 } @INPROCEEDINGS{AGHRS00a, author = {P. K. Agarwal and L. J. Guibas and S. {Har-Peled} and A. Rabinovitch and M. Sharir}, title = {Computing the Penetration Depth of Two Convex Polytopes in 3D}, booktitle = SWAT, year = 2000, pages = {328--338} } @ARTICLE{AGHV01, author = {P. K. Agarwal and L. J. Guibas and J. Hershberger and E. Veach}, title = {Maintaining the Extent of a Moving Point Set}, journal = DCG, year = 2001, volume = 26, pages = {353--374}, number = 3, url = {http://graphics.stanford.edu/papers/extent/} } @INPROCEEDINGS{AGHV97, author = {P. K. Agarwal and L. J. Guibas and J. Hershberger and E. Veach}, title = {Maintaining the extent of a moving point set}, booktitle = WADS, year = 1997, volume = 1272, series = {Lecture Notes Comput. Sci.}, pages = {31--44}, publisher = {Springer-Verlag}, nickname = {WADS '97}, site = {Halifax, Canada} } @INPROCEEDINGS{AGMV97, author = {P. K. Agarwal and L. J. Guibas and T. M. Murali and J. S. Vitter}, title = {Cylindrical Static and Kinetic Binary Space Partitions}, booktitle = SOCG, year = 1997, pages = {39--48} } @ARTICLE{AGSS89, author = {A. Aggarwal and L. J. Guibas and J. Saxe and P. W. Shor}, title = {A linear-time algorithm for computing the {Voronoi} diagram of a convex polygon}, journal = DCG, year = 1989, volume = 4, pages = {591--604}, number = 6, keywords = {convex polygons, Voronoi diagram} } @INPROCEEDINGS{AHBIT93, author = {D. Appelt and J. Hobbs and J. Bear and D. Israel and M. Tyson}, title = {{FASTUS}: A Finite-State Processor for Information Extraction From Real-World Text}, booktitle = {Proc. International Joint Conference on Artificial Intelligence}, year = 1993 } @INPROCEEDINGS{AHHHL99, author = {Y. Aharoni and D. Halperin and I. Hanniel and S. {Har-Peled} and C. Linhart}, title = {On-line Zone Construction in Arrangements of Lines in the Plane}, booktitle = {Proc. Workshop on Algorithm Engineering}, year = 1999, pages = {139--153}, html = {http://www.cs.duke.edu/ sariel/papers/99/zone.html}, nickname = {WAE '99} } @ARTICLE{AHKMN95, author = {E. M. Arkin and D. Halperin and K. Kedem and J. S.B. Mitchell and N. Naor}, title = {{Arrangements of segments that share endpoints: Single face results}}, journal = DCG, year = 1995, volume = 13, pages = {257--270} } @INPROCEEDINGS{AHMW02, author = {P. K. Agarwal and S. {Har-Peled} and N. Mustafa and Y. Wang}, title = {Near-Linear Time Approximation Algorithms for Curve Simplification in Two and Three dimensions}, booktitle = {ESA}, year = 2002 } @ARTICLE{AHSV97, author = {P. K. Agarwal and S. {Har-Peled} and M. Sharir and K. R. Varadarajan}, title = {Approximate Shortest Paths on a Convex Polytope in Three Dimensions}, journal = JACM, year = 1997, volume = 44, pages = {567--584} } @INCOLLECTION{AKKSW99, author = {P. K. Agarwal and L. Knipping and M. van Kreveld and T. Strijk and A. Wolf}, title = {A Simple and Efficient Algorithm for High-Quality Line Labeling}, booktitle = {Innovations in GIS VII: GeoComputation}, publisher = {Taylor and Francis}, year = 1999, editor = {P. Atkinson and D. Martin}, address = {Lonton}, note = {to appear} } @ARTICLE{AKMM02, author = {N.~Alon and G.~Kalai and J.~Matou{\v s}ek and R.~Meshulam}, title = {Transversal numbers for hypergraphs arising in geometry}, journal = {Adv. Appl. Math.}, year = 2002, volume = 29, pages = {79--101}, url = {http://www.math.tau.ac.il/~nogaa/PDFS/akmm6.pdf} } @INPROCEEDINGS{AKMMSS92, author = {Setsuo Arikawa and Satoru Kuhara and Satoru Miyano and Yasuhito Mukouchi and Ayumi Shinohara and Takeshi Shinohara}, title = {A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns}, booktitle = {Proceedings of the International Conference on Fifth Generation Computer Systems. Volume 2}, year = 1992, pages = {618--625}, address = {Burke, VA, USA}, publisher = {IOS Press}, isbn = {90-5199-099-5} } @INPROCEEDINGS{AKMW96, author = {Peter Auer and Stephen Kwek and Wolfgang Maass and Manfred K. Warmuth}, title = {Learning of depth two neural networks with constant fan-in at the hidden nodes}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {333--343}, publisher = {ACM Press, New York, NY} } @ARTICLE{AKST97, author = {Dana Angluin and M{\=a}rti{\c n}{\v s} Krikis and Robert H. Sloan and Gy{\"o}rgy Tur{\'a}n}, title = {Malicious omissions and errors in answers to membership queries}, journal = {Machine Learning}, year = 1997, volume = 28, pages = {211--255}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{ALLM94, author = {W. {Aha, David} and Stephanie Lapointe and Charles X. Ling and Stan Matwin}, title = {Learning recursive relations with randomly selected small training sets}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {12--18}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{ALMS98, author = {L. Aleksandrov and M. Lanthier and A. Maheshwari and J.-R. Sack}, title = {An {$\epsilon$}-Approximation Algorithm for Weighted Shortest Paths on Polyhedral Surfaces}, booktitle = SWAT, year = 1998, volume = 1432, series = {Lecture Notes Comput. Sci.}, pages = {11--22}, publisher = {Springer-Verlag}, nickname = {SWAT '98}, site = {Stockholm} } @ARTICLE{ALMW95, author = {P. Auer and P. M. Long and W. Maass and G. J. Woeginger}, title = {On the complexity of function learning}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {187--230}, number = {2/3}, annote = {First appeared in 6th COLT, 1993}, publisher = {Kluwer Academic Publishers, Boston} } @UNPUBLISHED{ALPS00, author = {N. Alon and H. Last and R. Pinchasi and M. Sharir}, title = {On the complexity of arrangements of circles in the plane}, note = {manuscript}, year = 2000 } @INPROCEEDINGS{ALRS92, author = {S. Ar and R. J. Lipton and R. Rubinfeld and M. Sudan}, title = {Reconstructing algebraic functions from mixed data}, booktitle = {Proc. of the 33rd Symposium on the Foundations of Comp. Sci.}, year = 1992, pages = {503--512}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @ARTICLE{AMNSW98, author = {S. Arya and D. M. Mount and N. S. Netanyahu and R. Silverman and A. Y. Wu}, title = {An optimal algorithm for approximate nearest neighbor searching fixed dimensions}, journal = JACM, year = 1998, volume = 45, number = 6, annote = 459 } @ARTICLE{AMRT96, author = {A. Andersson and P. B. Miltersen and S. Riis and M. Thorup}, title = {Static dictionaries on $AC^0$ RAMs: Query time $\Theta(\sqrt{\log n/ \log \log n})$ is necessary and sufficient}, journal = FOCS, year = 1996, pages = {441--450} } @ARTICLE{ANTH96, author = {Minoru Asada and Shoichi Noda and Sukoya Tawaratsumida and Koh Hosoda}, title = {Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning}, journal = {Machine Learning}, year = 1996, volume = 23, pages = {279--303}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{ASMS93, author = {Setsuo Arikawa and Takeshi Shinohara and Satoru Miyano and Ayumi Shinohara}, title = {More About Learning Elementary Formal Systems}, booktitle = {Proc. 2nd International Workshop on Nonmonotonic and Inductive Logic}, year = 1993, volume = 659, series = {Lecture Notes in Artificial Intelligence}, pages = {107--117}, publisher = {Springer Verlag}, isbn = {3-540-56433-0} } @INPROCEEDINGS{ASSW03, author = {P. K. Agarwal and S.{Har-Peled} and M. Sharir and Y. Wang}, title = {Hausdorff Distance under Translation for Points, Disks, and Balls}, booktitle = SOCG, year = 2003, pages = {282--291}, url = {http://www.uiuc.edu/~sariel/research/papers/02/hausdorff/} } @INPROCEEDINGS{AWFA98, author = {H. Arimura and A. Wataki and R. Fujino and S. Arikawa}, title = {A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {247--261}, publisher = {Springer-Verlag} } @INPROCEEDINGS{AWYPP99, author = {C. C. Aggarwal and J. L. Wolf and P. S. Yu and C. Procopiuc and J. S. Park}, title = {Fast algorithms for projected clustering}, booktitle = {SIGMOD 99}, year = 1999, pages = {61--72} } @ARTICLE{Abadi90, author = {Mart{\'\i}n Abadi and Zohar Manna}, title = {Nonclausal Deduction in First-Order Temporal Logic}, journal = jacm, year = 1990, volume = 37, pages = {279-317}, number = 2, month = apr, keywords = {Logic; Theory; Verification; automated deduction; concurrent-program verification; first-order temporal logic; nonclausal resolution; theorem proving; } } @INPROCEEDINGS{Abe89, author = {Naoki Abe}, title = {Polynomial Learnability of Semilinear Sets (Extended Abstract)}, booktitle = {Second Workshop on Computational Learning Theory}, year = 1989, address = {Santa Cruz, Cal.\ } } @ARTICLE{Abe91, author = {N. Abe}, title = {Learning Commutative Deterministic Finite State Automata in Polynomial Time}, journal = {New Generation Computing}, year = 1991, volume = 8, pages = {319--336}, number = 4, note = {First appeared in Proc. First Int. Workshop on Alg. 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Abe}, title = {Towards Realistic Theories of Learning}, journal = {New Generation Computing}, year = 1997, volume = 15, pages = {3--26}, number = 1, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{AbeLi96, author = {Naoki Abe and Hang Li}, title = {Learning word association norms using tree cut pair models}, booktitle = ICML, year = 1996, pages = {3--11}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AbeLiNa95, author = {N. Abe and H. Li and A. Nakamura}, title = {On-line learning of binary lexical relations using two-dimensional weighted majority algorithms}, booktitle = ICML, year = 1995, pages = {3--11}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AbeLo99, author = {Naoki Abe and Philip M. Long}, title = {Associative reinforcement learning using linear probabilistic concepts}, booktitle = ICML, year = 1999, pages = {3--11}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{AbeMa94, author = {Naoki Abe and Hiroshi Mamitsuka}, title = {A new method for predicting protein secondary structures based on stochastic tree grammars}, booktitle = ICML, year = 1994, pages = {3--11}, publisher = {Morgan Kaufmann} } @ARTICLE{AbeMa97, author = {Naoki Abe and Hiroshi Mamitsuka}, title = {Predicting protein secondary structure using stochastic tree grammars}, journal = {Machine Learning}, year = 1997, volume = 29, pages = {275--301}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{AbeMa98, author = {Naoki Abe and Hiroshi Mamitsuka}, title = {Query learning strategies using boosting and bagging}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {1--9}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{AbeNa99, author = {Naoki Abe and Atsuyoshi Nakamura}, title = {Leaning to optimally schedule internet banner advertisements}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {12--21}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{AbeTa93, author = {N. Abe and J. Takeuchi}, title = {The `lob-pass' problem and an on-line learning model of rational choice}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {422--428}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AbeTaWa91, author = {N. Abe and J. Takeuchi and M. K. Warmuth}, title = {Polynomial learnability of probabilistic concepts with respect to the {K}ullback-{L}eibler divergence}, booktitle = {Proc. 4th Annu. Workshop on Comput. Learning Theory}, year = 1991, pages = {277--289}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AbeWa90, author = {Abe, N. and M. Warmuth}, title = {On the computational complexity of approximatingdistributions by probabilistic automata}, booktitle = {Third Workshop on Computational Learning Theory}, year = 1990, pages = {52--66}, publisher = {Morgan Kaufmann}, comment = {Hidden Markov Model} } @ARTICLE{AbeWa92, author = {Abe, Naoki and Osamu Watanabe}, title = {Polynomially Sparse Variations and Reducibility amongprediction problems}, journal = {IEICE Trans. Inf. \& Syst.}, year = 1992, volume = {E75-D}, pages = {449--458}, number = 4, month = Jul, comment = {Gives an example to distinguish Turing-reducibility andprediction-preserving reducibility} } @ARTICLE{AbeWa92b, author = {Naoki Abe and Manfred K. Warmuth}, title = {On the Computational Complexity of Approximating Distributions by Probabilistic Automata}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {205--260}, note = {Special issue for COLT90}, publisher = {Kluwer Academic Publishers, Boston} } @BOOK{AbelloPaRe01, title = {Handbook of Massive Data Sets}, publisher = {Kluwer Academic Publishers}, year = 2001, editor = {J. Abello and P. M. Pardalos and M. G.C. Resende}, note = {to appear} } @BOOK{AbelsonSuSu96, title = {Structure and interpretation of computer programs}, publisher = {MIT Press}, year = 1996, author = {H. Abelson and G. J. Sussman and J. Sussman} } @ARTICLE{Abiteboul89, author = {Serge Abiteboul and Victor Vianu}, title = {A Transaction-Based Approach to Relational Database Specification}, journal = jacm, year = 1989, volume = 36, pages = {758-789}, number = 4, month = oct, keywords = {Database Theory; Design; Languages; Management; Performance; Theory; Verification; dynamic and static constraints; methods; object-oriented databases; operational specification; transactional schema; } } @INPROCEEDINGS{Abney02, author = {S. P. Abney}, title = {Bootstrapping}, booktitle = ACL, year = 2002, pages = {360--367} } @INCOLLECTION{Abney91, author = {S. P. Abney}, title = {Parsing by Chunks}, booktitle = {Principle-based parsing: Computation and Psycholinguistics}, publisher = {Kluwer}, year = 1991, editor = {R. C. Berwick, S. P. Abney and C. Tenny}, pages = {257--278}, address = {Dordrecht} } @INCOLLECTION{Abney96, author = {S. P. Abney}, title = {Chunk Stylebook}, publisher = {Working draft}, year = 1996, address = {http://www.sfs.nphil.uni-tuebingen.de/~abney/Papers.html\#96i} } @InCollection{Abney96a, author = "S. P. Abney", title = "Statistical Methods and Linguistics", publisher = "MIT Press", year = 1996, booktitle = "The Balancing Act: Combining Symbolic and Statistical Approaches to Language ", editor = " J. Klavans and P. Resnik ", } @BOOK{AbramowitzSt72, title = {{Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables}}, publisher = {Dover}, year = 1972, author = {Milton Abramowitz and Irene A. Stegun}, pages = {823-824}, address = {New York, NY}, paragraph = {24.1.2}, printing = {9th} } @ARTICLE{Abu-Mostafa89, author = {Y. S. Abu-Mostafa}, title = {The {V}apnik-{C}hervonenkis Dimension: Information verses Complexity in Learning}, journal = {Neural Computation}, year = 1989, volume = 1, pages = {312--317}, number = 3 } @ARTICLE{Aceto92, author = {L. Aceto and M. Hennessy}, title = {Termination, Deadlock, and Divergence}, journal = jacm, year = 1992, volume = 39, pages = {147-187}, number = 1, month = jan, keywords = {Programming Languages and Methodology; Languages; Theory; } } @INPROCEEDINGS{Achlioptas01, author = {D. Achlioptas}, title = {Database-friendly random projections}, booktitle = {PODS}, year = 2001, pages = {274--281}, annote = {A replacement of JL that uses only -1, 0, 1} } @ARTICLE{AckleyHiSe85, author = {D. H. Ackley and G. E. Hinton and T. J. Sejnowski}, title = {A Learning Algorithm for {B}oltzmann Machines}, journal = {Cognitive Science}, year = 1985, volume = 9, pages = {147--169} } @MASTERSTHESIS{Adams90, author = {R. T. Adams}, title = {Inference of {LISP} Programs from Examples}, school = {MIT EECS Department}, year = 1990, type = {Bachelor's thesis}, month = jun } @ARTICLE{AdeRaBr95, author = {Hilde Ad{\'{e}} and Luc De Raedt and Maurice Bruynooghe}, title = {Declarative Bias for Specific-to-General {ILP} Systems}, journal = {Machine Learning}, year = 1995, volume = 20, pages = {119--154}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{AdlemanBl91, author = {L. Adleman and M. Blum}, title = {Inductive Inference and Unsolvability}, journal = {J. Symbolic Logic}, year = 1991, volume = 56, pages = {891--900}, number = 3, annote = {Was Berkeley EECS TR in 1975} } @ARTICLE{AfekHaBr01, author = {Y.~Afek and S. {Har-Peled} and A.~{Bremler-Barr}}, title = {Routing with a Clue}, journal = {IEEE\slash ACM Transactions on Networking}, year = 2001, volume = 9, pages = {693--705}, number = 6, month = dec } @ARTICLE{Agarwal90, author = {P. K. Agarwal}, title = {Partitioning arrangements of lines: {II}. {Applications}}, journal = DCG, year = 1990, volume = 5, pages = {533--573}, keywords = {random sampling, arrangements, divide-and-conquer} } @INCOLLECTION{Agarwal91, author = {P. K. Agarwal}, title = {Geometric partitioning and its applications}, booktitle = {Computational Geometry: Papers from the DIMACS Special Year}, publisher = {American Mathematical Society}, year = 1991, editor = {J. E. Goodman and R. Pollack and W. Steiger}, pages = {1--37}, comments = {survey paper --- cuttings, range search}, key = {xxxx}, keywords = {random sampling, partition, arrangement, point location} } @BOOK{Agarwal91a, title = {Intersection and Decomposition Algorithms for Planar Arrangements}, publisher = {Cambridge University Press}, year = 1991, author = {P. K. Agarwal}, address = {New York, NY}, keywords = {arrangement, partition, Davenport-Schinzel sequences}, url = {http://www.cup.org/titles/catalogue.asp?isbn=0521404460} } @INCOLLECTION{Agarwal97, author = {P. K. Agarwal}, title = {Range searching}, booktitle = {Handbook of Discrete and Computational Geometry}, publisher = {CRC Press LLC}, year = 1997, editor = {J. E. Goodman and J. O'Rourke}, chapter = 31, pages = {575--598}, address = {Boca Raton, FL}, url = {http://www.cs.duke.edu/~pankaj/papers/revised-rs.ps.gz} } @INPROCEEDINGS{AgarwalArEr00, author = {P. K. Agarwal and L. Arge and J. Erickson}, title = {Indexing Moving Points}, booktitle = {PODS}, year = 2000, pages = {175--186}, url = {http://compgeom.cs.uiuc.edu/~jeffe/pubs/kindex.html} } @UNPUBLISHED{AgarwalArGo00, author = {P. K. Agarwal and L. Arge and S. Govindarajan}, title = {{I/O}-Efficient Construction of Well Seperated Pairs Decomposition}, note = {manuscript}, year = 2000 } @INPROCEEDINGS{AgarwalArSh00, author = {P. K. Agarwal and B. Aronov and M. Sharir}, title = {Exact and Approximation Algorithms for Minimum-Width Cylindrical Shells}, booktitle = SODA, year = 2000, pages = {510--517}, url = {http://www.math.tau.ac.il/~michas/shellqq.ps} } @ARTICLE{AgarwalArSh01, author = {P. K. Agarwal and B. Aronov and M. Sharir}, title = {Exact and Approximation Algorithms for Minimum-Width Cylindrical Shells}, journal = DCG, year = 2001, volume = 26, pages = {307--320}, number = 3, url = {http://www.math.tau.ac.il/~michas/shellqq.ps} } @ARTICLE{AgarwalArSh97, author = {P. K. Agarwal and B. Aronov and M. Sharir}, title = {Computing Envelopes in Four Dimensions with Applications}, journal = SICOMP, year = 1997, volume = 26, pages = {1714--1732}, url = {http://epubs.siam.org/sam-bin/dbq/article/26572} } @INPROCEEDINGS{AgarwalBhSe99, author = {P. K. Agarwal and B. Bhattacharya and S. Sen}, title = {Output-sensitive algorithms for uniform partitions of points}, booktitle = {ISAAC}, year = 1999 } @INPROCEEDINGS{AgarwalCh07, author = {A. Agarwal and S. Chakrabarti}, title = {Learning random walks to rank nodes in graphs}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {9--16}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{AgarwalDe00, author = {P. K. Agarwal and P. K. Desikan}, title = {Approximation algorithms for layered manufacturing}, booktitle = SODA, year = 2000, note = {to appear} } @UNPUBLISHED{AgarwalDeMu00, author = {P. K. Agarwal and P. K. Desikan and T. M. Murali}, title = {Occlusion culling using exact shadow computations and ray-shooting queries}, note = {{stSOCG16}}, year = 2000 } @ARTICLE{AgarwalEfSh99, author = {P. K. Agarwal and A. Efrat and M. Sharir}, title = {Vertical decomposition of shallow levels in $3$-dimensional arrangements and its applications}, journal = SICOMP, year = 1999, volume = 29, pages = {912--953} } @INCOLLECTION{AgarwalEr98, author = {P. K. Agarwal and J. Erickson}, title = {Geometric range searching and its relatives}, booktitle = {Advances in Discrete and Computational Geometry}, publisher = {AMS Press}, year = 1998, editor = {B. Chzelle, J. E. Goodman and R. Pollack}, address = {Providence, RI} } @INPROCEEDINGS{AgarwalErGu98, author = {P. K. Agarwal and J. Erickson and L. J. Guibas}, title = {Kinetic {BSP}s for Intersecting Segments and Disjoint Triangles}, booktitle = SODA, year = 1998, pages = {107--116}, nickname = {SODA '98} } @UNPUBLISHED{AgarwalFlHa00, author = {P. K. Agarwal and E. Flato and D. Halperin}, title = {Polygon decomposition for efficient construction of Minkowski sums}, note = {{stSOCG16}}, year = 2000 } @INPROCEEDINGS{AgarwalGaGu02, author = {P. K. Agarwal and J. Gao and L. J. Guibas}, title = {Kinetic medians and $kd$-trees}, booktitle = {ESA}, year = 2002, pages = {5-16}, url = {http://www.cs.duke.edu/~pankaj/papers/kinetic-kdtree.pdf.gz} } @UNPUBLISHED{AgarwalHa00, author = {P. K. Agarwal and S. {Har-Peled}}, title = {Approximating shortest-path of terrains}, note = {manuscript}, year = 2000 } @INPROCEEDINGS{AgarwalHa01, author = {P. K. Agarwal and S. {Har-Peled}}, title = {Maintaining the Approximate Extent Measures of Moving Points}, booktitle = SODA, year = 2001, pages = {148--157}, url = {http://www.uiuc.edu/~sariel/research/papers/00/extent.html} } @INPROCEEDINGS{AgarwalHaKa00, author = {P. K. Agarwal and S. {Har-Peled} and M. Karia}, title = {Computing Approximate Shortest Paths on Convex Polytopes}, booktitle = SOCG, year = 2000, pages = {270--279}, url = {http://www.cs.duke.edu/\tildegen{}sariel/papers/99/navigator.html} } @ARTICLE{AgarwalHaKa02, author = {P. K.~Agarwal and S.~Har-Peled and M.~Karia}, title = {Computing Approximate Shortest Paths on Convex Polytopes}, journal = {{ALGORITHMICA}}, year = 2002, volume = 33, pages = {227--242}, number = 2 } @UNPUBLISHED{AgarwalHaKa99, author = {P. K. Agarwal and S. {Har-Peled} and M. Karia}, title = {Shortest path --- demo program}, note = {{\tt http://www.cs} {\tt .duke.edu/\tildegen{}} {\tt {sariel/papers/99/nav/nav.html}}}, year = 1999 } @UNPUBLISHED{AgarwalHaMu00, author = {P. K. Agarwal and S. {Har-Peled} and N. Mustafa}, title = {Curve Simplification Revisited}, note = {manuscript}, year = 2000 } @ARTICLE{AgarwalHaVa03, author = {P. K. Agarwal and S. {Har-Peled} and K. R. Varadarajan}, title = {Approximating Extent Measures of Points}, journal = JACM, year = 2003, note = {to appear}, url = {http://www.uiuc.edu/~sariel/research/papers/01/fitting/} } @ARTICLE{AgarwalKr94, author = {P. K. Agarwal and M. van Kreveld}, title = {Implicit Point Location in Arrangements of Line Segments, with an Application to Motion Planning}, journal = IJCGA, year = 1994, volume = 4, pages = {369--383}, keywords = {point location, motion planning, arrangements} } @ARTICLE{AgarwalMa94, author = {P. K. Agarwal and J. Matou{\v s}ek}, title = {On range searching with semialgebraic sets}, journal = DCG, year = 1994, volume = 11, pages = {393--418} } @ARTICLE{AgarwalMa95, author = {P. K. Agarwal and J. Matou{\v s}ek}, title = {Dynamic Half-Space Range Reporting and Its Applications}, journal = {Algorithmica}, year = 1995, volume = 13, pages = {325--345}, keywords = {arrangements, cuttings, range-searching, dynamization} } @INPROCEEDINGS{AgarwalMaSc94, author = {P. K. Agarwal and J. Matou{\v s}ek and O. Schwarzkopf}, title = {Computing Many Faces in Arrangements of Lines and Segments}, booktitle = SOCG, year = 1994, pages = {76--84}, url = {ftp://ftp.cs.ruu.nl/pub/RUU/CS/techreps/CS-1994/1994-39.ps.gz} } @ARTICLE{AgarwalMaSc98, author = {P. K. Agarwal and J. Matou{\v s}ek and O. Schwarzkopf}, title = {Computing Many Faces in Arrangements of Lines and Segments}, journal = SICOMP, year = 1998, volume = 27, pages = {491--505}, number = 2, url = {http://epubs.siam.org/sam-bin/dbq/article/26616} } @ARTICLE{AgarwalMaSu92, author = {P. K. Agarwal and J. Matou{\v s}ek and S. Suri}, title = {Farthest neighbors, maximum spanning trees and related problems in higher dimensions}, journal = CGTA, year = 1992, volume = 1, pages = {189--201}, number = 4 } @INPROCEEDINGS{AgarwalPr00, author = {P. K. Agarwal and C. M. Procopiuc}, title = {Approximation Algorithms for Projective Clustering}, booktitle = SODA, year = 2000, pages = {538--547} } @ARTICLE{AgarwalPr02, author = {P. K. Agarwal and C. M. Procopiuc}, title = {Exact and Approximation Algorithms for Clustering}, journal = {Algorithmica}, year = 2002, volume = 33, pages = {201--226}, number = 2, url = {http://link.springer.de/link/service/journals/00453/bibs/2033002/20330201.html} } @INPROCEEDINGS{AgarwalPr98, author = {P. K. Agarwal and C. M. Procopiuc}, title = {Exact and Approximation Algorithms for Clustering}, booktitle = SODA, year = 1998, pages = {658--667}, nickname = {SODA '98} } @INPROCEEDINGS{AgarwalPrVa02, author = {P. K. Agarwal and C. M. Procopiuc and K. R. Varadarajan}, title = {Approximation algorithms for $k$-line center}, booktitle = {ESA}, year = 2002, pages = {54--63}, url = {http://link.springer.de/link/service/series/0558/bibs/2461/24610054.htm} } @ARTICLE{AgarwalScSh96, author = {P. K. Agarwal and O. Schwarzkopf and M. Sharir}, title = {The overlay of lower envelopes and its applications}, journal = DCG, year = 1996, volume = 15, pages = {1--13}, url = {http://link.springer.de/link/service/journals/00454/bibs/15n1p1.html} } @INCOLLECTION{AgarwalSe99, author = {P. K. Agarwal and S. Sen}, title = {Randomized algorithms for geometric optimization}, booktitle = {Handbook of Randomized Computation}, publisher = {Kluwar Academic Press}, year = 1999, editor = {J. Pardalos and S. Rajasekaran and J. Reif and J. Rolim}, note = {to appear} } @INCOLLECTION{AgarwalSh00, author = {P.~K. Agarwal and M.~Sharir}, title = {Arrangements and their applications}, booktitle = {Handbook of Computational Geometry}, publisher = {Elsevier Science Publishers B.V. North-Holland}, year = 2000, editor = {J.-R. Sack and J.~Urrutia}, pages = {49--119}, address = {Amsterdam}, url = {http://www.cs.duke.edu/~pankaj/papers/arrangement-survey.ps.gz} } @ARTICLE{AgarwalSh00a, author = {P. K. Agarwal and M. Sharir}, title = {Pipes, Cigars, and Kreplach: The Union of Minkowski Sums in Three Dimensions}, journal = DCG, year = 2000, volume = 24, pages = {645--657} } @ARTICLE{AgarwalSh90, author = {P. K. Agarwal and M. Sharir}, title = {Red-blue intersection detection algorithms, with applications to motion planning and collision detection}, journal = SICOMP, year = 1990, volume = 19, pages = {297--321}, number = 2 } @ARTICLE{AgarwalSh96, author = {P. K. Agarwal and M. Sharir}, title = {Efficient Randomized Algorithms for Some Geometric Optimization Problems}, journal = DCG, year = 1996, volume = 16, pages = {317--337}, url = {http://link.springer.de/link/service/journals/00454/bibs/16n4p317.html} } @ARTICLE{AgarwalSh96a, author = {P. K. Agarwal and M. Sharir}, title = {Ray shooting amidst convex polygons in {2D}}, journal = JALG, year = 1996, volume = 21, pages = {508--519} } @ARTICLE{AgarwalSh98, author = {P. K. Agarwal and M. 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Zhang}, title = {Two-view feature generation model for semi-supervised learning}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {25--32}, publisher = {Omnipress}, location = {Corvallis, OR} } @TECHREPORT{Andreae85, author = {Andreae, Peter Merrett}, title = {Justified Generalization: Acquiring Procedures from Examples}, institution = {MIT Artificial Intelligence Laboratory}, year = 1985, number = {AI-TR-834}, month = Jan, comment = {Ph.D. thesis. Examines traces of a correct procedure (physical motion procedure) to infer loops, etc.} } @inproceedings{AndreevskaiaLiBe05, author = {A. Andreevskaia and Z. Li and S. Bergler}, title = {Can Shallow Predicate Argument Structures Determine Entailment?}, year = 2005, booktitle = {Proceedings of RTE 2005} } @INPROCEEDINGS{AndrewGa07, author = {G. Andrew and J. Gao}, title = {Scalable training of {L1}-regularized log-linear models}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {33--40}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{Andrews63, author = {G. E. Andrews}, title = {{A lower bound for the volume of strictly convex bodies with many boundary lattice points}}, journal = {Trans. Amer. Math. Soc.}, year = 1963, volume = 106, pages = {270--279} } @PHDTHESIS{Angluin76, author = {D. Angluin}, title = {An Application of the Theory of Computational Complexity to the Study of Inductive Inference}, school = {Electrical Engineering and Computer Science Department, University of California, Berkeley}, year = 1976 } @ARTICLE{Angluin78, author = {D. Angluin}, title = {On the Complexity of Minimum Inference of Regular Sets}, journal = {Inform. Control}, year = 1978, volume = 39, pages = {337--350}, number = 3 } @ARTICLE{Angluin80, author = {Angluin, Dana}, title = {Inductive Inference of Formal Languages from Positive Data}, journal = InfCtrl, year = 1980, volume = 45, pages = {117--135}, number = 2, month = May, comment = {Can be done iff each language Li contains a finite subset Ti such that Ti is a subset of Li and if i!=j and Ti is a subset of Lj, then Lj is not a proper subset of Li; and Ti is computable from i.} } @ARTICLE{Angluin80a, author = {D. Angluin}, title = {Finding Patterns Common to a Set of Strings}, journal = {J. of Comput. Syst. Sci.}, year = 1980, volume = 21, pages = {46--62} } @ARTICLE{Angluin81, author = {Angluin, D.}, title = {A note on the number of queries needed to identify regular languages}, journal = {Information and Control}, year = 1981, volume = 51, pages = {76--87} } @ARTICLE{Angluin82, author = {D. Angluin}, title = {Inference of Reversible Languages}, journal = {J. ACM}, year = 1982, volume = 29, pages = {741--765}, number = 3, month = jul } @ARTICLE{Angluin82a, author = {D. Angluin}, title = {A note on the number of queries needed to identify regular languages}, journal = {Inform. Control}, year = 1982, volume = 51, pages = {76--87} } @TECHREPORT{Angluin86, author = {Angluin, Dana}, title = {Types of queries for concept learning}, institution = {Yale University Department of Computer Science}, year = 1986, number = {YALEU/DCS/TR-479}, month = Jun, comment = {Surveys kinds of learning possible with equivalence, membership, subset, superset, and disjointness queries, and with random samplying.} } @TECHREPORT{Angluin87, author = {D. Angluin}, title = {Debugging a {DAG} Efficiently}, institution = {Yale University}, year = 1987, number = 591 } @TECHREPORT{Angluin87a, author = {D. Angluin}, title = {Learning $k$-Bounded Context-Free Grammars}, institution = {Department of Computer Science, Yale University}, year = 1987, number = {YALEU/ DCS/RR-557}, month = aug } @UNPUBLISHED{Angluin87b, author = {Angluin, D.}, title = {A Note on Diversity}, note = {Unpublished}, month = Dec, year = 1987 } @TECHREPORT{Angluin87c, author = {D. Angluin}, title = {Learning propositional {H}orn sentences with hints}, institution = {Department of Computer Science, Yale University}, year = 1987, number = {YALEU/DCS/RR-590}, month = dec } @TECHREPORT{Angluin87d, author = {Angluin, D.}, title = {Learning $k$-Term {DNF} Formulas Using Queries and Counterexamples}, institution = {Yale University Department of Computer Science}, year = 1987, number = {YALEU/DCS/RR-559}, month = Aug } @ARTICLE{Angluin87e, author = {D. Angluin}, title = {Learning Regular Sets from Queries and Counterexamples}, journal = {Inform. Comput.}, year = 1987, volume = 75, pages = {87--106}, number = 2, month = nov, comment = {Learning regular sets from a teacher who answers membership queries, and responds to false conjectures with counterexamples. Based on Gold's approach. Also learning context-free languages from teacher. Was Yale TR YALEU/DCS/TR-464} } @TECHREPORT{Angluin88, author = {D. Angluin}, title = {Equivalence Queries and {DNF} formulas}, institution = {Yale University Department of Computer Science}, year = 1988, number = {YALEU/DCS/RR-659}, month = nov } @TECHREPORT{Angluin88a, author = {D. Angluin}, title = {Identifying languages from stochastic examples}, institution = {Yale University, Dept. of Computer Science}, year = 1988, number = {YALEU/ DCS/RR-614}, address = {New Haven, CT} } @INPROCEEDINGS{Angluin88b, author = {D. Angluin}, title = {Learning with hints}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {167--181}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{Angluin88c, author = {D. Angluin}, title = {Queries and Concept Learning}, journal = {Machine Learning}, year = 1988, volume = 2, pages = {319--342}, number = 4, month = apr, annote = {Preliminary version appeared as YALE/DCS/RR-479.}, publisher = {Kluwer Academic Publishers, Boston} } @TECHREPORT{Angluin88d, author = {D. Angluin}, title = {Requests for hints that return no hints}, institution = {Yale University, YALE/DCS/RR-647}, year = 1988 } @INPROCEEDINGS{Angluin89, author = {D. Angluin}, title = {Equivalence queries and approximate fingerprints}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {134--145}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @TECHREPORT{Angluin89a, author = {D. Angluin}, title = {Using queries to identify $\mu$-formulas}, institution = {Yale University, YALE/DCS/RR-694}, year = 1989 } @ARTICLE{Angluin90, author = {D. Angluin}, title = {Negative results for equivalence queries}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {121--150}, annote = {Was Yale University TR YALEU/DCS/RR-648}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Angluin92, author = {D. Angluin}, title = {Computational learning theory: survey and selected bibliography}, booktitle = {Proc. 24th Annu. ACM Sympos. Theory Comput.}, year = 1992, pages = {351--369}, publisher = {ACM Press, New York, NY} } @TECHREPORT{Angluin94, author = {Dana Angluin}, title = {Exact learning of {$\mu$}-{DNF} formulas with malicious membership queries}, institution = {Yale University}, year = 1994, number = {YALEU/DCS/TR-1020}, month = mar } @INPROCEEDINGS{AngluinCs97, author = {Dana Angluin and Mikl{\'o}s Cs{\H u}r{\"o}s}, title = {Learning {M}arkov chains with variable length memory from noisy output}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {298--308}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AngluinFrPi90, author = {Angluin, D. and Michael Frazier and Leonard Pitt}, title = {Learning Conjunctions of {H}orn Clauses}, booktitle = {Proceedings of IEEE FOCS Conference}, year = 1990, pages = {186--192}, address = {St. Louis, Missouri}, month = Oct, publisher = {IEEE} } @ARTICLE{AngluinFrPi92, author = {D. Angluin and M. Frazier and L. Pitt}, title = {Learning conjunctions of {H}orn clauses}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {147--164}, annote = {Earlier version in FOCS 1990 conference}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{AngluinGaSm89, author = {D. Angluin and W. Gasarch and C. Smith}, title = {Training sequences}, journal = {Theoret. Comput. Sci.}, year = 1989, volume = 66, pages = {255--272}, annote = {University of Maryland, CS-TR-1894, UMIACS-TR-87-37, 1987}, comment = {Shows how to learn hard total functions by being taught relevant other functions first.} } @ARTICLE{AngluinHeKa93, author = {Dana Angluin and Lisa Hellerstein and Marek Karpinski}, title = {Learning Read-Once Formulas with Queries}, journal = jacm, year = 1993, volume = 40, pages = {185-210}, number = 1, month = jan, keywords = {Machine Learning; Algorithms; Design; Theory; equivalence queries; exact identification; interpolation; membership queries; u-formulas; mu-formulas; polynomial-time learning; read-once formulas; } } @INPROCEEDINGS{AngluinKh91, author = {Angluin, D. and M. Kharitonov}, title = {When Won't Membership Queries Help?}, booktitle = {Proceedings of the Twenty-Third Annual ACM Symposium on Theory of Computing}, year = 1991, pages = {444--454}, address = {New Orleans, Louisiana}, month = May } @ARTICLE{AngluinKh95, author = {Dana Angluin and Michael Kharitonov}, title = {When won't membership queries help?}, journal = {J. of Comput. Syst. Sci.}, year = 1995, volume = 50, pages = {336--355}, number = 2, note = {Earlier version appeared in 23rd STOC, 1991} } @INPROCEEDINGS{AngluinKr94, author = {D. Angluin and M. Kri{\c k}is}, title = {Learning with malicious membership queries and exceptions}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {57--66}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AngluinKr97, author = {Dana Angluin and M{\=a}rti{\c n}{\v s} Krikis}, title = {Teachers, Learners and Black Boxes}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {285--297}, publisher = {ACM Press, New York, NY} } @TECHREPORT{AngluinLa86, author = {Angluin, D. and P. D. Laird}, title = {Identifying k-CNF formulas from noisy examples}, institution = {Yale University Department of Computer Science}, year = 1986, number = {YALEU/DCS/TR-478}, month = Jun, comment = {Error model assumes random error rate < 1/2 in classificationsprovided for examples. Algorithm tries to minimize number of examples which are misclassified by chosen hypothesis.Published as AngluinLa88.} } @ARTICLE{AngluinLa88, author = {D. Angluin and P. Laird}, title = {Learning from noisy examples}, journal = {Machine Learning}, year = 1988, volume = 2, pages = {343--370}, number = 4, annote = {Preliminary version appeared as YALE/DCS/RR-478.}, comment = {Error model assumes random error rate < 1/2 in classifications provided for examples. Algorithm tries to minimize number of examples which are misclassified by chosen hypothesis.}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{AngluinSl91, author = {Angluin, D. and D. K. Slonim}, title = {Learning Monotone {DNF} with an Incomplete Membership Oracle}, booktitle = {Proceedings of COLT '91}, year = 1991, pages = {139--146}, publisher = {Morgan Kaufmann}, note = {(To appear in {\em Machine Learning}.)}, tag = {TOC-display} } @ARTICLE{AngluinSl94, author = {Dana Angluin and Donna K. Slonim}, title = {Randomly Fallible Teachers: Learning Monotone {DNF} with an Incomplete Membership Oracle}, journal = {Machine Learning}, year = 1994, volume = 14, pages = {7--26}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{AngluinSm83, author = {Angluin, D. and Carl H. Smith}, title = {Inductive Inference: Theory and Methods}, journal = {Computing Surveys}, year = 1983, volume = 15, pages = {237--269}, number = 3, month = Sep, comment = {Comprehensive survey of inductive inference a la Gold [Go67].} } @INCOLLECTION{AngluinSm87, author = {D. Angluin and C. Smith}, title = {Inductive Inference}, booktitle = {Encyclopedia of Artificial Intelligence}, publisher = {J. Wiley and Sons, New York}, year = 1987, pages = {409--418} } @ARTICLE{AngluinVa79, author = {Angluin, D. and L. G. Valiant}, title = {Fast probabilistic algorithms for {H}amiltonian circuits and matchings}, journal = {Journal of Computer and System Sciences}, year = 1979, volume = 18, pages = {155--193}, number = 2, month = Apr, comment = {States nice form of Chernoff bounds.} } @INPROCEEDINGS{AnoulovaP94, author = {S. Anoulova and S. P{\"o}lt}, title = {Using {K}ullback-{L}eibler Divergence in Learning Theory}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {145--156}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{AnthonyBa95, author = {Martin Anthony and Peter Bartlett}, title = {Function learning from interpolation}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {211--221}, publisher = {Springer-Verlag} } @BOOK{AnthonyBa99, title = {Neural Network Learning: Theoretical Foundations}, publisher = {Cambridge}, year = 1999, author = {M.~Anthony and P. L. Bartlett} } @BOOK{AnthonyBi92, title = {Computational Learning Theory}, publisher = {Cambridge University Press}, year = 1992, author = {M. Anthony and N. Biggs}, series = {Cambridge Tracts in Theoretical Computer Science (30)} } @INPROCEEDINGS{AnthonyBiSh90, author = {M. Anthony and N. Biggs and J. Shawe-Taylor}, title = {The learnability of formal concepts}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {246--257}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AnthonyHo93, author = {M. Anthony and S. Holden}, title = {On the power of polynomial discriminators and radial basis function networks}, booktitle = {Proc. 6th Annu. Workshop on Comput. Learning Theory}, year = 1993, pages = {158--164}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AnthonyHo98, author = {Martin Anthony and Sean B. Holden}, title = {Cross-validation for binary classification by real-valued functions: theoretical analysis}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {218--229}, publisher = {ACM Press, New York, NY} } @TECHREPORT{AnthonySh90, author = {M. Anthony and J. {Shawe-Taylor}}, title = {A result of {V}apnik with applications}, institution = {University of London}, year = 1990, number = {CSD-TR-628}, address = {Surrey, England} } @INPROCEEDINGS{AnthonySh94, author = {M. Anthony and J. Shawe-Taylor}, title = {Valid Generalisation of Functions from Close Approximations on a Sample}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {94--108}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{Antos99, author = {Andr{\'a}s Antos}, title = {Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {241--252}, publisher = {Springer-Verlag} } @ARTICLE{AntosLu98, author = {Andr{\'a}s Antos and G{\'a}bor Lugosi}, title = {Strong minimax lower bounds for learning}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {31--56}, note = {Earlier version in COLT96}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{ApolloniGe00, author = {B. Apolloni and C. Gentile}, title = {{P}-sufficient statistics for {PAC} learning $k$-term-{DNF} formulas through enumeration}, journal = {Theoret. Comput. Sci.}, year = 2000, volume = 230, pages = {1--37}, number = {1-2} } @INPROCEEDINGS{Appelt90, author = {Appelt, D. E.}, title = {A theory of Abduction based on model preserence}, booktitle = {AAAI Spring Symposium on {A}utomated {A}bduction}, year = 1990, pages = {67--71} } @INPROCEEDINGS{Aps94, author = {K. Aps{\= i}tis}, title = {Derived sets and inductive inference}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {26--39}, publisher = {Springer-Verlag} } @INCOLLECTION{Aps95, author = {Kalvis Aps{\=i}tis}, title = {Topological Considerations in Composing Teams of Learning Machines}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {146--154} } @INPROCEEDINGS{ApsFrSm95, author = {Kalvis Aps{\=i}tis and R{\=u}si{\c n}{\v s} Freivalds and Carl H. Smith}, title = {On the inductive inference of real valued functions}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {170--177}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{ApsFrSm97, author = {Kalvis Aps{\=i}tis and R{\=u}si{\c n}{\v s} Freivalds and Carl H. Smith}, title = {Asymmetric Team Learning}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {90--95}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{ApsitisFrSm94, author = {K. Apsitis and R. Freivalds and C. Smith}, title = {Choosing a learning team: a topological approach}, booktitle = {Proc. of Twenty-sixth ACM Symposium on Theory of Computing}, year = 1994, page = {283-289} } @inproceedings{Apte-et-al94, author = "C. Apte and F. Damerau and S. Weiss", year = 1994, title = "Towards language independent automated learning of text categorization models", booktitle = {Proceedings of ACM-SIGIR Conference on Information Retrieval} } @INPROCEEDINGS{ApteDaWe94, author = {C. Apte and F. Damerau and S. Weiss}, title = {Towards language independent automated learning of text categorization models}, booktitle = {Proceedings of ACM-SIGIR Conference on Information Retrieval}, year = 1994 } @ARTICLE{ArapostathisMa90, author = {A. Arapostathis and S. I. Marcus}, title = {Analysis of an Identification Algorithm Arising in the Adaptive Estimation of Markov Chains}, journal = {Math. Control Signals Systems}, year = 1990, volume = 3, pages = {1--29} } @ARTICLE{Argamon-EngelsonDaKr99, author = {Shlomo Argamon-Engelson and Ido Dagan and Yuval Krymolowsky}, title = {A memory-based approach to learning shallow natural-language patterns}, journal = {Journal of Experimental and Theoretical Artificial Intelligence}, year = 1999, volume = 11, pages = {369--390} } @INPROCEEDINGS{ArgamonDaKr98, author = {S. Argamon and I. Dagan and Y. Krymolowski}, title = {A memory-based approach to learning shallow natural language patterns}, booktitle = {COLING-ACL 98, The 17th International Conference on Computational Linguistics}, year = 1998 } @ARTICLE{ArgamonDaKr99, author = {S. Argamon and I. Dagan and Y. Krymolowski}, title = {A Memory-Based Approach to Learning Shallow Natural Language Patterns}, journal = {Journal of Experimental and Theoretical Artificial Intelligence, special issue on memory-based learning}, year = 1999, volume = 10, pages = {1--22} } @INPROCEEDINGS{ArgyriouEvPo, author = {Andreas Argyriou and Theodoros Evgeniou and Massimiliano Pontil}, title = {Convex Multi-task feature learning}, booktitle = {Machine Learning (to appear)}, url = {http://www.springerlink.com/content/161105027v344n03/} } @INPROCEEDINGS{ArgyriouEvPo07, author = {Andreas Argyriou and Theodoros Evgeniou and Massimiliano Pontil}, title = {Multi-task feature learning}, booktitle = NIPS, year = 2007, publisher = {MIT Press} } @ARTICLE{ArikawaRi97, author = {S. Arikawa and M. M. Richter}, title = {Preface}, journal = {New Generation Computing}, year = 1997, volume = 15, pages = {1--2}, number = 1, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{ArikawaShYa89, author = {S. Arikawa and T. Shinohara and A. Yamamoto}, title = {Elementary formal system as a unifying framework for language learning}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {312--327}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Arima92, author = {J. Arima}, title = {A logical analysis of relevance in analogy}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {255--265}, publisher = {IOS Press} } @INPROCEEDINGS{ArimaSa93, author = {J. Arima and H. Sawamura}, title = {Reformulation of explanation by linear logic - toward logic for explanation}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {45--57}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Arimura97, author = {Arimura, H.}, title = {Learning Acyclic First-order {Horn} Sentences from Entailment}, booktitle = {Proceedings of the International Conference on Algorithmic Learning Theory}, year = 1997, publisher = {Springer-verlag}, note = {LNAI 1316} } @ARTICLE{ArimuraHi99, author = {Hiroki Arimura and Kouichi Hirata}, title = {Learning of first-order formulas and inductive logic programming}, journal = {Journal of Japanese Society for Artificial Intelligence}, year = 1999, volume = 14, pages = {790--799}, number = 5 } @INPROCEEDINGS{ArimuraIsSh92, author = {H. Arimura and H. Ishizaka and T. Shinohara}, title = {Polynomial time inference of a subclass of context-free transformations}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {136--143}, publisher = {ACM Press, New York, NY} } @ARTICLE{ArimuraIsSh97, author = {Hiroki Arimura and Hiroki Ishizaka and Takeshi Shinohara}, title = {Learning unions of tree patterns using queries}, journal = {Theoret. Comput. Sci.}, year = 1997, volume = 185, pages = {47--62}, number = 1, note = {Special issue for ALT '95} } @INPROCEEDINGS{ArimuraShOt92, author = {H. Arimura and T. Shinohara and S. Otsuki}, title = {Polynomial time inference of unions of tree pattern languages}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {105--114}, publisher = {IOS Press} } @INPROCEEDINGS{ArimuraShOt93, author = {H. Arimura and T. Shinohara and S. Otsuki}, title = {A polynomial time algorithm for finding finite unions of tree pattern languages}, booktitle = {Proc. 2nd Internat. Workshop on Nonmonotonic and Inductive Logic}, year = 1993, volume = 659, series = {Lecture Notes in Artificial Intelligence}, pages = {118--131}, publisher = {Springer--Verlag} } @ARTICLE{Arkin91, author = {E. M. Arkin and C. H. Papadimitriou and M. Yannakakis}, title = {Modularity of Cycles and Paths in Graphs}, journal = jacm, year = 1991, volume = 38, pages = {255-274}, number = 2, month = apr, keywords = {Combinatorics and Graph Theory; Algorithms; Theory; algorithms; cycles and paths; graphs; modularity; } } @INPROCEEDINGS{Armstrong74, author = {Armstrong, W. W.}, title = {Dependency Structures of Database Relationships}, booktitle = {Proceedings of IFIP 74}, year = 1974, pages = {580--583}, publisher = {North Holland, Amsterdam} } @INPROCEEDINGS{ArnoldJa94, author = {O. Arnold and K. P. Jantke}, title = {Therapy plan generation as program synthesis}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {40--55}, publisher = {Springer-Verlag} } @ARTICLE{ArnoldJa97, author = {O. Arnold and K. P. Jantke}, title = {Inductive Program Synthesis for Therapy Plan Generation}, journal = {New Generation Computing}, year = 1997, volume = 15, pages = {27--58}, number = 1, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{AronovFo97, author = {B. Aronov and S. Fortune}, title = {Average-Case Ray Shooting and Minimum Weight Triangulations}, booktitle = SOCG, year = 1997, pages = {203--211}, url = {http://doi.acm.org/10.1145/262839.262972} } @UNPUBLISHED{AronovSh96, author = {B. Aronov and M. Sharir}, title = {{The common exterior of convex polygons in the plane}}, note = {to appear in {\em CGTA}}, year = 1996 } @ARTICLE{Arora98, author = {S. Arora}, title = {Polynomial time approximation schemes for Euclidean TSP and other geometric problems}, journal = JACM, year = 1998, volume = 45, pages = {753--782}, number = 5, month = {Sep}, publisher = {ACM} } @INPROCEEDINGS{AroraRaRa98, author = {S. Arora and P. Raghavan and S. Rao}, title = {Approximation schemes for {Euclidean} $k$-median and related problems}, booktitle = STOC, year = 1998, pages = {106--113} } @INPROCEEDINGS{ArriagaVe99, author = {R. I. Arriaga and S. Vempala}, title = {An algorithmic theory of learning: Robust Concepts and Random Projection}, booktitle = FOCS, year = 1999, pages = {616--623}, place = {New York} } @ARTICLE{ArvindVi00, author = {V. Arvind and N. V. Vinodchandran}, title = {Exact learning via teaching assistants}, journal = {Theoret. Comput. Sci.}, year = 2000, volume = 241, pages = {51--81}, number = {1-2}, note = {Special issue for ALT '96} } @INPROCEEDINGS{ArvindVi96, author = {V. Arvind and N. V. Vinodchandran}, title = {The complexity of exactly learning algebraic concepts}, booktitle = {Algorithmic Learning Theory: ALT '96}, year = 1996, volume = 1160, series = {Lecture Notes in Artificial Intelligence}, pages = {100--112}, publisher = {Springer-Verlag} } @INPROCEEDINGS{ArvindVi97, author = {V. Arvind and N. V. Vinodchandran}, title = {Exact learning via teaching assistants}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {291--306}, publisher = {Springer-Verlag} } @INPROCEEDINGS{AryaMa02, author = {S. Arya and T. Malamatos}, title = {Linear-size approximate {Voronoi} diagrams}, booktitle = SODA, year = 2002, note = {to appear} } @INPROCEEDINGS{AryaMaMo02, author = {S. Arya and T. Malamatos and D. M. Mount}, title = {Space-efficient approximate {Voronoi} diagrams}, booktitle = STOC, year = 2002, note = {to appear} } @INPROCEEDINGS{AryaMo95, author = {S. Arya and David M. Mount}, title = {Approximate Range Searching}, booktitle = SOCG, year = 1995, pages = {172--181}, keywords = {quadtrees, box decomposition trees} } @ARTICLE{AsanoGuTo94, author = {T. Asano and L. J. Guibas and T. Tokuyama}, title = {Walking on an arrangement topologically}, journal = IJCGA, year = 1994, volume = 4, pages = {123--151} } @INPROCEEDINGS{AsharafMuSh07, author = {S. Asharaf and M. Murty and S. Shevade}, title = {Multiclass core vector machine}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {41--48}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{Asker94, author = {L. Asker}, title = {Improving accuracy of incorrect domain theories}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {19--27}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AskerMa97, author = {Lars Asker and Richard Maclin}, title = {Feature engineering and classifier selection: {A} case study in {V}enusian volcano detection}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {3--11}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Aslam00, author = {Javed A. Aslam}, title = {Improving Algorithms for Boosting}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {200--207}, publisher = {Morgan Kaufmann, San Francisco} } @MASTERSTHESIS{Aslam92, author = {J. A. Aslam}, title = {Inferring Graphs from Walks}, school = {Massachusetts Institute of Technology}, year = 1992, month = jan } @INPROCEEDINGS{AslamDe93, author = {Aslam, J. A. and S. E. Decatur}, title = {General Bounds on Statistical Query Learning and {PAC} Learning with Noise via Hypothesis Boosting}, booktitle = {Proceedings of the 34th Annual Symposium on Foundations of Computer Science}, year = 1993, pages = {282--291}, month = Nov } @INPROCEEDINGS{AslamDe95, author = {J. A. Aslam and S. E. Decatur}, title = {Specification and simulation of statistical query algorithms for efficiency and noise tolerance}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {437--446}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{AslamDh91, author = {Aslam, Javed A. and Aditi Dhagat}, title = {Searching in the Presence of Linearly Bounded Errors}, booktitle = {Proceedings of the Twenty-Third Annual {ACM} Symposium onTheory of Computing}, year = 1991, pages = {486--493}, month = May } @ARTICLE{AslamDh93, author = {Aslam, Javed A. and Aditi Dhagat}, title = {On-line Algorithms for 2-coloring Hypergraphs via Chip Games}, journal = {Theoretical Computer Science}, year = 1993, volume = 112, pages = {355--369}, number = 2, month = May } @INPROCEEDINGS{AslamRi90, author = {Aslam, Javed A. and Ronald L. Rivest}, title = {Inferring Graphs from Walks}, booktitle = {Proceedings of the Third Annual Workshop on ComputationalLearning Theory}, year = 1990, pages = {359--370}, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @INPROCEEDINGS{AspnesBeFuRu91, author = {Aspnes, James and Richard Beigel and Merrick Furst and Steven Rudich}, title = {The expressive power of polynomials}, booktitle = {23rd Annual Symposium on Foundations of Computer Science}, year = 1982, pages = {402--409}, month = May } @ARTICLE{Assouad83, author = {P. Assouad}, title = {Densit{\'e} et Dimension}, journal = {Ann. Inst. Fourier}, year = 1983, pages = {233--282}, address = {Grenoble}, comment = {In French. Survey of properties of VC classes.} } @ARTICLE{Atallah85, author = {M. J. Atallah}, title = {Some dynamic computational geometry problems}, journal = {Comput. Math. Appl.}, year = 1985, volume = 11, pages = {1171--1181} } @ARTICLE{Atallah91, author = {Mikhail J. Atallah and Danny Z. 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Boissonnat}, title = {Complexity of the {Delaunay} triangulation of points on a smooth surface}, note = {\href{http://www-sop.inria.fr/prisme/personnel/boissonnat/papers.html}{http://www-sop.inria.fr/prisme/personnel/boissonnat/papers.html}}, year = 2001 } @ARTICLE{Attiya90, author = {Hagit Attiya and Amotz Bar-Noy and Danny Dolev and David Peleg and R{\"u}diger Reishuk}, title = {Renaming in an Asynchronous Environment}, journal = jacm, year = 1990, volume = 37, pages = {524-548}, number = 3, month = jul, keywords = {Distributed Computing; Algorithms; Reliability; asynchrony; asynchronous environment; lower bounds; processor renaming; symmetry breaking; unreliable systems; } } @INPROCEEDINGS{Auer00, author = {Peter Auer}, title = {An Improved On-line Algorithm for Learning Linear Evaluation Functions}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {118--125}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Auer93, author = {P. Auer}, title = {On-line learning of rectangles in noisy environments}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {253--261}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Auer97, author = {Peter Auer}, title = {On learning from multi-instance examples: Empirical evaluation of a theoretical approach}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {21--29}, publisher = {Morgan Kaufmann} } @ARTICLE{Auer97a, author = {Peter Auer}, title = {Learning nested differences in the presence of malicious noise}, journal = {Theoret. Comput. Sci.}, year = 1997, volume = 185, pages = {159--175}, number = 1, note = {Special issue for ALT '95} } @ARTICLE{AuerCe98, author = {Peter Auer and Nicol\`{o} Cesa-Bianchi}, title = {On-line learning with malicious noise and the closure algorithm}, journal = {Annals of Mathematics and Artificial Intelligence}, year = 1998, volume = 23, pages = {83--99}, number = {1/2}, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{AuerGe00, author = {Peter Auer and Claudio Gentile}, title = {Adaptive and Self-Confident On-Line Learning Algorithms}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {107--117}, publisher = {Morgan Kaufmann, San Francisco} } @TECHREPORT{AuerHeWa96, author = {P. Auer and M. Herbster and M. K. Warmuth}, title = {Exponentially many local minima for single neurons}, institution = {Univ. of Calif.Computer Research Lab}, year = 1996, number = {UCSC-CRL-96-1}, address = {Santa Cruz, CA}, note = {In preparation} } @INPROCEEDINGS{AuerHoMa95, author = {Peter Auer and Robert C. Holte and Wolfgang Maass}, title = {Theory and applications of agnostic {PAC}-learning with small decision trees}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {21--29}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{AuerLo94, author = {P. Auer and P. Long}, title = {Simulating Access to hidden information while learning}, booktitle = {Proc. of Twenty-sixth ACM Symposium on Theory of Computing}, year = 1994, pages = {263--272} } @ARTICLE{AuerLo99, author = {Peter Auer and Philip M. Long}, title = {Structural Results About On-line Learning Models With and Without Queries}, journal = {Machine Learning}, year = 1999, volume = 36, pages = {147--181}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{AuerWa95, author = {Peter Auer and Manfred Warmuth}, title = {Tracking the best disjunction}, booktitle = {Proc. of the 36th Annual Symposium on Foundations of Computer Science}, year = 1995, pages = {312--321}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @ARTICLE{Aurenhammer91, author = {F. Aurenhammer}, title = {Voronoi diagrams: A survey of a fundamental geometric data structure}, journal = {ACM Comput. Surv.}, year = 1991, volume = 23, pages = {345--405}, keywords = {survey paper, Voronoi diagrams, Delaunay triangulations, arrangements, hyperplanes, plane sweep, divide-and-conquer, parallel computation, minimum spanning trees, cluster analysis, motion planning} } @INCOLLECTION{AurenhammerKl00, author = {F. Aurenhammer and R. Klein}, title = {Voronoi Diagrams}, booktitle = {Handbook of Computational Geometry}, publisher = {Elsevier Science Publishers B. V. North-Holland}, year = 2000, editor = {J{\"o}rg-R{\"u}diger Sack and Jorge Urrutia}, pages = {201--290}, address = {Amsterdam}, annote = {Chapter 5 of su-hcg-00}, url = {http://wwwpi6.fernuni-hagen.de/Publikationen/tr198.pdf} } @ARTICLE{Authorless89, author = {Authorless}, title = {Erratum one}, journal = {Machine Learning}, year = 1989, volume = 3, pages = {377--377}, note = {This is a correction to the article {\em Learning to Predict by the method of temporal differences}, by Richard Sutton, which appeared in volume 3, number 1, of {\em Machine Learning}.}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Authorless90, author = {Authorless}, title = {Errata to Extending}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {229--229}, note = {This is a correction to the article {\em Extending domain theories: two case studies in student Modeling}, by D.~Slemman, et al., which appeared in volume 5, number 1, of {\em Machine Learning}}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Authorless93, author = {Authorless}, title = {Erratum to Discovery}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {153--153}, note = {This is a correction to the article {\em Discovery by minimal length encoding: A case study in molecular evolution}, by Aleksandar Milosavljevic and Jerzy Jurka, which appeared in volume 12, number 1,2,3 of {\em Machine Learning}}, publisher = {Kluwer Academic Publishers, Boston} } @inproceedings(Averbuch87, author = "A. Averbuch and L. Bahl and R. Bakis and P. Brown and G. Dagget and S. Das and K. Davies and S. De Gennaro and P. deSouza and E. Epstein and D. Fraleigh and F. Jelinek and B. Lewis and R. Mercer and J. Moorhead and A. Nadas and D. Nahamoo and M. Picheny and G. Shichman and P. Spinelli and D. Van Compernolle and H. Wilkens", title = "Experiments with the Tangora 20,000 word speeech recognizer", booktitle = ICASSP, year = 1987 ) @ARTICLE{Awerbuch90, author = {Baruch Awerbuch and Oded Goldreich and David Peleg and Ronen Vainish}, title = {A Trade-Off between Information and Communication in Broadcast Protocols}, journal = jacm, year = 1990, volume = 37, pages = {238-256}, number = 2, month = apr, keywords = {Distributed Computing; Algorithms; Theory; broadcast; lower bounds; resource trade-offs; } } @INPROCEEDINGS{AwerbuchKo98, author = {Baruch Awerbuch and Stephen G. Kobourov}, title = {Polylogarithmic-overhead piecemeal graph exploration}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {280--286}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Azran07, author = {A. Azran}, title = {The rendezvous algorithm: multiclass semi-supervised learning with {Markov} random walks}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {49--56}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{BASFPCA98, author = {Michael C. Burl and Lars Asker and Padhraic Smyth and Usama Fayyad and Pietro Perona and Larry Crumpler and Jayne AubeIe}, title = {Learning to recognize volcanoes on {V}enus}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {165--194}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BBAS93, author = {J{\=a}nis B{\=a}rzdi{\c n}{\u s} and Guntis B{\=a}rzdi{\c n}{\u s} and Kalvis Aps{\=i}tis and U{\u g}is Sarkans}, title = {Towards efficient inductive synthesis of expressions from input/output examples}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {59--72}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BBBKK97, author = {S. Berchtold and C. B{\"o}hm and B. Barunm{\"u}ller and D. A. Keim and H.-P. Kriegel}, title = {Fast parallel similarity search in multimedia databases}, booktitle = {SIGMOD}, year = 1997, pages = {1--12} } @ARTICLE{BBBRW98, author = {M. de Berg and P. Bose and D. Bremner and S. Ramaswami and G. Wilfong}, title = {Computing Constrained Minimum-Width Annuli of Point Sets}, journal = {Comput. Aided Design}, year = 1998, volume = 30, pages = {267--275}, number = 4 } @INPROCEEDINGS{BBGW07, author = {A. Bordes and L. Bottou and P. Gallinari and J. Weston}, title = {Solving multiclass support vector machines with {LaRank}}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {89--96}, publisher = {Omnipress}, location = {Corvallis, OR} } @UNPUBLISHED{BBKS01, author = {S. Bespamyatnikh and B. Bhattacharya and D. Kirkpatrick and M. Segal}, title = {Mobile Facility Location}, note = {appeared in Dial M for mibility}, year = 2001, annote = {{613}} } @INPROCEEDINGS{BBMN02, author = {L. van der Beek and G. Bouma and R. Malouf and G. van Noord}, title = {The Alpino Dependency Treebank}, booktitle = {Computational Linguistics in the Netherlands (CLIN)}, year = 2002, timestamp = {2007.01.26} } @INPROCEEDINGS{BBTV97, author = {Francesco Bergadano and Nader H. Bshouty and Christino Tamon and Stefano Varricchio}, title = {On learning branching programs and small depth circuits}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {150--161}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BCDDJMR88, author = {Brown, P. and Cocke, J. and Della Pietra, S. and Della Pietra, V. and Jelinek, F. and Mercer, R.L. and Roossin, P.S.}, title = {A statistical approach to language translation}, booktitle = Coling, year = 1988 } @ARTICLE{BCDDJMR90, author = {Brown, P. and Cocke, J. and Della Pietra, S. and Della Pietra, V. and Jelinek, F. and Mercer, R.L. and Roossin, P.S.}, title = {A statistical approach to language translation}, journal = CL, year = 1990, volume = 16, pages = {79--85}, number = 2 } @INPROCEEDINGS{BCDH95, author = {Nader H. Bshouty and Zhixiang Chen and Scott E. Decatur and Steven Homer}, title = {On the learnability of {$Z_N$}-{DNF} formulas}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {198--205}, publisher = {ACM Press, New York, NY} } @ARTICLE{BCDKT98, author = {M. de~Berg and Otfried Cheong and O. Devillers and M. van Kreveld and M. Teillaud}, title = {Computing the Maximum Overlap of Two Convex Polygons Under Translations}, journal = TCS, year = 1998, volume = 31, pages = {613--628}, url = {http://link.springer-ny.com/link/service/journals/00224/bibs/31n5p613.html} } @ARTICLE{BCGMT96, author = {G. Barequet and B. Chazelle and L. J. Guibas and J. S.B. Mitchell and A. Tal}, title = {{BOXTREE}: {A} Hierarchical Representation for Surfaces in {3D}}, journal = {Comput. Graph. Forum}, year = 1996, volume = 15, pages = {C387--C396, C484}, number = 3, note = {Proc.\ Eurographics'96} } @INPROCEEDINGS{BCGS95, author = {Avrim Blum and Prasad Chalasani and Sally A. Goldman and Donna K. Slonim}, title = {Learning with unreliable boundary queries}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {98--107}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BCGS99, author = {Jose L. Balcazar and Jorge Castro and David Guijarro and Hans-Ulrich Simon}, title = {The Consistency Dimension and Distribution-Dependent Learning from Queries}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {77--92}, publisher = {Springer-Verlag} } @ARTICLE{BCHL95, author = {S. {Ben-David} and N. {Cesa-Bianchi} and D. Haussler and P. Long}, title = {Characterizations of Learnability for Classes of ${0,...,n}$- valued Functions}, journal = JCSS, year = 1995, volume = 50, pages = {74--86}, number = 1 } @ARTICLE{BCJS94, author = {G. Baliga and J. Case and S. Jain and M. Suraj}, title = {Machine Learning of Higher Order Programs}, journal = {J. Symbolic Logic}, year = 1994, volume = {59--2}, pages = {486--500}, annote = {Was in {\sl Proceedings of the Logical Foundations of Computer Science}, Tver, Russia, LNCS 620 in 1992} } @INPROCEEDINGS{BCKT94, author = {N. H. Bshouty and R. Cleve and S. Kannan and C. Tamon}, title = {Oracles and queries that are sufficient for exact learning}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {130--139}, publisher = {ACM Press, New York, NY} } @BOOK{BCMNP03, title = {Description Logic Handbook}, publisher = Cambridge, year = 2003, author = {F. Baader and D. Calvanese and D. McGuinness and D. Nardi and P. Patel-Schneider} } @INPROCEEDINGS{BCMP92, author = {A. Bertoni and P. Campadelli and A. Morpurgo and S. Panizza}, title = {Polynomial uniform convergence and polynomial-sample learnability}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {265--271}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BCSBE07, author = {M. Banko and M. Cafarella and M. Soderland and M. Broadhead and O. Etzioni}, title = {Open Information Extraction from the Web}, booktitle = IJCAI, year = 2007, pages = {2670--2676} } @inproceedings{BDGS07, title = {Semantic Inference at the Lexical-Syntactic Level}, author = {Bar-Haim, R. and Dagan, I. and Greental, I. and Shnarch, E.}, booktitle = {Proceedings Of The National Conference On Artificial Intelligence}, volume = 22, number = 1, pages = 871, year = 2007, } @INPROCEEDINGS{BDGW93, author = {J. L. Balc{\' a}zar and J. D{\' i}az and R. Gavald{\` a} and O. Watanabe}, title = {A note on the query complexity of learning {DFA}}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {53--62}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BDGW94, author = {J. L. Balc{\'a}zar and J. D{\'i}az and R. Gavald{\`a} and O. Watanabe}, title = {An optimal parallel algorithm for learning {DFA}}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {208--217}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BDIZ97, author = {J. Basch and H. Devarajan and P. Indyk and L. Zhang}, title = {Probabilistic Analysis for Combinatorial Functions of Moving Points}, booktitle = SOCG, year = 1997, pages = {442--444} } @ARTICLE{BDJKS98, author = {Andreas Birkendorf and Eli Dichterman and Jeffrey Jackson and Norbert Klasner and Hans Ulrich Simon}, title = {On restricted-focus-of-attention learnability of {B}oolean functions}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {89--123}, note = {Earlier version in COLT '96}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BEHW86, author = {Blumer, A. and A. Ehrenfeucht and D. Haussler and M. K. Warmuth}, title = {Classifying Learnable Geometric Concepts with the {V}apnik-{C}hervonenkis Dimension}, booktitle = {Proceedings of the Eighteenth Annual ACM Symposium on Theory of Computing}, year = 1986, pages = {273--282}, address = {Berkeley, California}, month = May, comment = {Shows equivalence between finite VC dimension and learnability of geometric concepts.} } @ARTICLE{BEHW87, author = {A. Blumer and A. Ehrenfeucht and D. Haussler and M. K. Warmuth}, title = {Occam's Razor}, journal = {Inform. Proc. Lett.}, year = 1987, volume = 24, pages = {377--380}, month = apr, annote = {Was UCSC Computer Science Laboratory CRL-86-2}, comment = {Defines `Occam-algorithm' which may produce a hypothesis of complexity $n^c m^\alpha$ for fixed $c$ and $\alpha < 1$, and shows that Occam-algorithms need only polynomially many samples.} } @ARTICLE{BEHW89, author = {Anselm Blumer and Andrzej Ehrenfeucht and David Haussler and Manfred K. Warmuth}, title = {Learnability and the {V}apnik-{C}hervonenkis Dimension}, journal = jacm, year = 1989, volume = 36, pages = {929-965}, number = 4, month = oct, keywords = {Theory of Computation; Algorithms; Theory; Verification; capacity; learnability theory; learning from examples; Occam's razor; PAC learning; sample complexity; Vapnik-Chervonenkis classes; Vapnik-Chervonenkis dimension; } } @INPROCEEDINGS{BFJKMR94, author = {A. Blum and M. Furst and J. Jackson and M. Kearns and Y. Mansour and S. Rudich}, title = {Weakly Learning {DNF} and Characterizing Statistical Query Learning Using Fourier Analysis}, booktitle = {Proc. of Twenty-sixth ACM Symposium on Theory of Computing}, year = 1994 } @INPROCEEDINGS{BFJMT99, author = {Wolfram Burgard and Dieter Fox and Hauke Jans and Christian Matenar and Sebastian Thrun}, title = {Sonar-based mapping with mobile robots using {EM}}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {67--76}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{BFKV98, author = {Avrim Blum and Alan M. Frieze and Ravi Kannan and Santosh Vempala}, title = {A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {35--52}, number = {1/2} } @BOOK{BFOS84, title = {Classification and Regression Trees}, publisher = {Wadsworth International Group}, year = 1984, author = {L. Breiman and J. H. Friedman and R. A. Olshen and C. J. Stone}, comment = {Review of procedures for inferring decision trees from data.} } @ARTICLE{BFRS85, author = {Axel Biewer and Christian Feneyrol and Johannea Ritzke and Erwin Stegentritt}, title = {ASCOF -- A modular multilevel system for French-German translation}, journal = CL, year = 1985, volume = 11, number = {2--3} } @ARTICLE{BGGM98, author = {Nader H. Bshouty and Paul W. Goldberg and Sally A. Goldman and H. David Mathias}, title = {Exact Learning of Discretized Geometric Concepts}, journal = {{SIAM} J. Comput.}, year = 1998, volume = 28, pages = {674--699}, number = 2 } @ARTICLE{BGHM96, author = {Nader H. Bshouty and Sally A. Goldman and Thomas R. Hancock and Sleiman Matar}, title = {Asking questions to minimize errors}, journal = {J. of Comput. Syst. Sci.}, year = 1996, volume = 52, pages = {268--286}, number = 2, note = {Earlier version in 6th COLT, 1993} } @INPROCEEDINGS{BGKKLS98, author = {A. Brieden and P. Gritzmann and R. Kannan and V. Klee and L. Lovsz and M. Simonovits}, title = {Approximation of Diameters: Randomization Doesn't Help}, booktitle = FOCS, year = 1998, pages = {244--251}, note = {Note: They show that under an oracle model approximating any of the diameters of a convex body can not be done to better than $O(n /\log{n})$, where $n$ is the dimensions} } @ARTICLE{BGKL90, author = {H.~L.~Bodlaender and P.~Gritzmann and V.~Klee and J. van Leeuwen}, title = {The computational complexity of norm-maximization}, journal = {Combinatorica}, year = 1990, volume = 10, pages = {203--225} } @ARTICLE{BGKNP96, author = {C. Baroglio and A. Giordana and M. Kaiser and M. Nuttin and R. Piola}, title = {Learning Controllers for Industrial Robots}, journal = {Machine Learning}, year = 1996, volume = 23, pages = {221--249}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BGMST96, author = {N. H. Bshouty and S. A. Goldman and H. D. Mathias and S. Suri and H. Tamaki}, title = {Noise-Tolerant Distribution-Free Learning of General Geometric Concepts}, booktitle = {Proc. 28th Annu. ACM Symposium on the Theory of Computing}, year = 1996, pages = {151--160}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BGSZ97, author = {J. Basch and L. J. Guibas and C. Silverstein and L. Zhang}, title = {A practical evaluation of kinetic data structures}, booktitle = SOCG, year = 1997, pages = {388--390} } @ARTICLE{BHHK94, author = {N. Bshouty and T. Hancock and L. Hellerstein and M. Karpinski}, title = {An algorithm to learn read-once threshold formulas, and transformations between learning models}, journal = {Computational Complexity}, year = 1994, volume = 4, pages = {37--61} } @INPROCEEDINGS{BHKMSH93, author = {M. P. Brown and R. Hughey and A. Krogh and I. S. Mian and K. Sj{\"o}lander and D. Haussler}, title = {Using {D}irichlet Mixture Priors to Derive Hidden {M}arkov Models for Protein Families}, booktitle = {Proc. of First Int. 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Murty}, title = {Focussed crawling with scalable ordinal regression solvers}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {57--64}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{BJLMMR93, author = {Ezra Black and Fred Jelinek and John Lafferty and David Magerman and Robert Mercer and Salim Roukos}, title = {Towards history-based grammars: using richer models for probabilistic parsing}, booktitle = ACL, year = 1993, pages = {31--37} } @INPROCEEDINGS{BJLMR92, author = {Ezra Black and Fred Jelinek and John Lafferty and Robert Mercer and Salim Roukos}, title = {Decision tree models applied to the labeling of text with parts-of-speech}, booktitle = DARPA, year = 1992 } @INPROCEEDINGS{BJVU98, author = {A. Br{\= a}zma and I. Jonassen and J. Vilo and E. 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Indyk}, title = {Approximate Clustering via Core-Sets}, booktitle = STOC, year = 2002, pages = {250--257}, url = {http://www.uiuc.edu/~sariel/research/papers/02/coreset/} } @ARTICLE{BahlJeMe83, author = {Bahl, Lalit R. and Frederick Jelinek and Robert L. Mercer}, title = {A Maximum Likelihood Approach to Continuous Speech Recognition}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = 1983, volume = {PAMI-5}, pages = {179--190}, number = 2, month = Mar, comment = {Describes Markov modeling and analysis techniques.} } @INPROCEEDINGS{Bai94, author = {S. Bai}, title = {A Calculus for logical clustering}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {56--63}, publisher = {Springer-Verlag} } @INBOOK{BaileyEl95, chapter = 18, pages = {345--359}, title = {Cross-validation and modal theories}, publisher = {MIT Press}, year = 1995, author = {Timothy L. Bailey and Charles Elkan}, volume = {III: Selecting Good Models}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @ARTICLE{BaileyEl95a, author = {Timothy L. Bailey and Charles Elkan}, title = {Unsupervised learning of multiple motifs in biopolymers using expectation maximization}, journal = {Machine Learning}, year = 1995, volume = 21, pages = {51--80}, number = {1/2}, publisher = {Kluwer Academic Publishers, Boston} } @INCOLLECTION{Bainbridge77, author = {E. S. Bainbridge}, title = {The fundamental duality of system theory}, booktitle = {Systems: Approaches, Theories, Applications}, publisher = {D. Reidel Publishing Company}, year = 1977, editor = {W. E. 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Bartlett and Shai Ben-David}, title = {Hardness Results for Neural Network Approximation Problems}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {50--62}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BartlettBeKu96, author = {Peter L. Bartlett and Shai Ben-David and Sanjeev R. Kulkarni}, title = {Learning changing concepts by exploiting the structure of change}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {131--139}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BartlettBoLu00, author = {Peter L. Bartlett and St{\'e}phane Boucheron and G{\'a}bor Lugosi}, title = {Model Selection and Error Estimation}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {286--297}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{BartlettFiH94, author = {P. L. Bartlett and P. Fischer and K.-U. H{\"o}ffgen}, title = {Exploiting random walks for learning}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {318--327}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BartlettLiLu97, author = {Peter Bartlett and Tam{\'a}s Linder and G{\'a}bor Lugosi}, title = {A minimax lower bound for empirical quantizer design}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {210--222}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BartlettLo95, author = {Peter L. Bartlett and Philip M. Long}, title = {More theorems about scale-sensitive dimensions and learning}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {392--401}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BartlettLoWi94, author = {P. L. Bartlett and P. M. Long and R. C. Williamson}, title = {Fat-shattering and the learnability of real-valued functions}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {299--310}, publisher = {ACM Press, New York, NY} } @INBOOK{BartlettSh98, chapter = {Generalization Performance of Support Vector Machines and other Pattern Classifiers}, title = {Advances in Kernel Methods --- Support Vector Learning}, publisher = {MIT Press}, year = 1998, author = {P. Bartlett and J. {Shawe-Taylor}} } @INPROCEEDINGS{BartlettWi91, author = {P. L. Bartlett and R. C. Williamson}, title = {Investigating the distribution assumptions in the {PAC} learning model}, booktitle = {Proc. 4th Annu. Workshop on Comput. Learning Theory}, year = 1991, pages = {24--32}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{BarveLo96, author = {Rakesh D. Barve and Philip M. Long}, title = {On the complexity of learning from drifting distributions}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {122--130}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BarzdicFrSm96, author = {J{\=a}nis B{\=a}rzdi{\c n}{\u s} and R{\=u}si{\c n}s Freivalds and Carl H. Smith}, title = {Learning with Confidence}, booktitle = {Proc. 13th Annual Symposium on Theoretical Aspects of Computer Science: STACS '96}, year = 1996, volume = 1046, series = {Lecture Notes in Computer Science}, pages = {207--218}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BarzdicFrSm97, author = {J{\=a}nis B{\=a}rzdi{\c n}{\u s} and R{\=u}si{\c n}s Freivalds and Carl H. Smith}, title = {Learning formulae from elementary facts}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {272--285}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BarzdicSa96, author = {J{\=a}nis B{\=a}rzdi{\c n}{\v s} and U{\v g}is Sarkans}, title = {Incorporating hypothetical knowledge into the process of inductive synthesis}, booktitle = {Algorithmic Learning Theory: ALT '96}, year = 1996, volume = 1160, series = {Lecture Notes in Artificial Intelligence}, pages = {156--168}, publisher = {Springer-Verlag} } @ARTICLE{Barzdin70, author = {J. M. Barzdin}, title = {On decoding automata in the absence of an upper bound on the number of states}, journal = {Dokl. Akad. Nauk. SSSR}, year = 1970, pages = {1048--1051}, vol = 190 } @ARTICLE{Barzdin71, author = {J. M. Barzdin}, title = {Prognostication of automata and functions}, journal = {Information Processing}, year = 1971, volume = 1, pages = {81--84} } @ARTICLE{Barzdin74a, author = {J. M. 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Mathematical Foundations of Computer Science}, year = 1973, pages = {9--15}, publisher = {Math. Inst. of the Slovak Academy of Sciences} } @INPROCEEDINGS{BarzdinsBa93, author = {J. Barzdins and G. Barzdins}, title = {Towards efficient inductive synthesis: {R}apid construction of local regularities}, booktitle = {Proc. 2nd Internat. Workshop on Nonmonotonic and Inductive Logic}, year = 1993, volume = 659, series = {Lecture Notes in Artificial Intelligence}, pages = {132--140}, publisher = {Springer--Verlag} } @INPROCEEDINGS{Barzdinv94, author = {J. Barzdin{\v s}}, title = {Towards efficient inductive synthesis from input/output examples}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = 1, publisher = {Springer-Verlag} } @INPROCEEDINGS{BarzilayLa05, author = {Regina Barzilay and Mirella Lapata}, title = {Modeling local coherence: an entity-based approach}, booktitle = ACL, year = 2005, } @INPROCEEDINGS{BarzilayLa06, author = {R. Barzilay and M. Lapata}, title = {{Aggregation via Set Partitioning for Natural Language Generation}}, booktitle = {Proc. of HLT/NAACL}, year = 2006, month = {June} } @INPROCEEDINGS{BarzilayLe04, author = {Regina Barzilay and Lillian Lee}, title = {Catching the drift: probabilistic content models, with applications to generation and summarization}, booktitle = {HLT-NAACL 2004: Proceedings of the Main Conference}, pages = {113-120}, year = 2004, } @INPROCEEDINGS{BarzilayPPEval, author = {David Kauchak and Regina Barzilay}, title = {Paraphrasing for automatic evaluation}, booktitle = {Proceedings of HLT-NAACL}, year = 2006, pages = {455--462} } @inproceedings{BarzilyLa06, author = {Regina Barzilay and Mirella Lapata}, title = {Aggregation via set partitioning for natural language generation}, booktitle = NAACL, year = 2006, pages = {359--366}, location = {New York, New York}, publisher = {ACL}, } @INPROCEEDINGS{BaschGuHe97, author = {J. Basch and L. J. Guibas and J. Hershberger}, title = {Data Structures for Mobile Data}, booktitle = SODA, year = 1997, pages = {747--756}, url = {http://graphics.stanford.edu/~jbasch/publications/kinetic/} } @ARTICLE{BaschGuHe99, author = {J. Basch and L. J. Guibas and J. Hershberger}, title = {Data Structures for Mobile Data}, journal = JALG, year = 1999, volume = 31, pages = {1--28}, number = 1, url = {http://graphics.stanford.edu/~jbasch/publications/kinetic/} } @ARTICLE{BaschGuRa03, author = {J. Basch and L. J. Guibas and G. D. Ramkumar}, title = {Reporting red-blue intersections between two sets of connected line segments}, journal = {{ALGORITHMICA}}, year = 2003, volume = 35, pages = {1--20}, url = {http://link.springer-ny.com/link/service/journals/00453/contents/02/0967/} } @INPROCEEDINGS{BaschGuRa96a, author = {J. Basch and L. J. Guibas and G. D. Ramkumar}, title = {Reporting red-blue intersections between two sets of connected line segments}, booktitle = {ESA}, year = 1996, volume = 1136, series = {Lecture Notes Comput. Sci.}, pages = {302--319}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BaschGuRa97, author = {J. Basch and L. J. Guibas and G. Ramkumar}, title = {Sweeping Lines and Line Segments with a Heap}, booktitle = SOCG, year = 1997, pages = {469--472} } @UNPUBLISHED{Basri94, author = {R. Basri}, note = {Private Communication}, year = 1994, comment = {Character recognition via polynomial eplainable classes} } @ARTICLE{BasuPoRo96, author = {S. Basu and R. Pollack and M.-F. Roy}, title = {On the combinatorial and algebraic complexity of quantifier elimination}, journal = JACM, year = 1996, volume = 43, pages = {1002--1045} } @ARTICLE{BasyeDeVi97, author = {Kenneth Basye and Thomas Dean and Jeffrey Scott Vitter}, title = {Coping with uncertainty in map learning}, journal = {Machine Learning}, year = 1997, volume = 29, pages = {65--88}, note = {Earlier versions in IJCAI89 and Brown Univ. 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Baum}, title = {Toward a Model of Intelligence as an Economy of Agents}, journal = {Machine Learning}, year = 1999, volume = 35, pages = {155--185}, number = 2, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BaumBoGa95, author = {Eric B. Baum and Dan Boneh and Charles Garrett}, title = {On genetic algorithms}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {230--239}, publisher = {ACM Press, New York, NY} } @ARTICLE{BaumEa67, author = {Baum, Leonard E. and J. A. Eagon}, title = {An Inequality with Applications to Statistical Estimation for Probabilistic Functions of Markov Processes and to a Model for Ecology}, journal = {Bulletin of the American Mathematical Society}, year = 1967, volume = 73, pages = {360--363}, comment = {Gives a technique for maximizing a polynomial with nonnegative coefficients and homogeneous of degree d.} } @ARTICLE{BaumHa89, author = {E. Baum and D. 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Baxter}, title = {Theoretical Models of Learning to Learn}, booktitle = {Learning to Learn}, publisher = {Kluwer Academic Publishers}, year = 1997, editor = {T. Mitchell and S. Thrun} } @ARTICLE{Baxter97a, author = {Jonathan Baxter}, title = {A {B}ayesian/information theoretic model of learning to learn via multiple task sampling}, journal = {Machine Learning}, year = 1997, volume = 28, pages = {7--39}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Baxter97b, author = {Jonathan Baxter}, title = {The canonical distortion measure for vector quantization and function approximation}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {39--47}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{BaxterBa97, author = {Jonathan Baxter and Peter Bartlett}, title = {A result relating convex $n$-widths to covering numbers with some applications to neural networks}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {251--259}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BaxterOl96, author = {Rohan A. Baxter and Jonathan J. Oliver}, title = {The kindest cut: minimum message length segmentation}, booktitle = {Algorithmic Learning Theory: ALT '96}, year = 1996, volume = 1160, series = {Lecture Notes in Artificial Intelligence}, pages = {83--90}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BaxterTrWe98, author = {Jonathan Baxter and Andrew Trigdell and Lex Weaver}, title = {KnightCap: a chess program that learns by combining {TD}($\lambda$) with game-tree search}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {28--36}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Bay98, author = {Stephen D. Bay}, title = {Combining nearest neighbor classifiers through multiple feature subsets}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {37--45}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{BayraktarSaAk98, author = "M. Bayraktar and B. Say and V. Akman", year = 1998, title = {An Analysis of English Punctuation: The Special Case of Comma}, journal = {International Journal of Corpus Linguistics}, volume = {3(1)}, pages = {33-57}, } @INPROCEEDINGS{Beale88, author = {Andrew D. Beale}, title = {Lexicon and grammar in probabilistic tagging of written English}, booktitle = ANLP, year = 1988 } @ARTICLE{Beame89, author = {Paul Beame and Johan Hastad}, title = {Optimal Bounds for Decision Problems on the {CRCW} {PRAM}}, journal = jacm, year = 1989, volume = 36, pages = {643-670}, number = 3, month = jul, keywords = {Theory of Computation; Theory; Verification; concurrent-write; lower bounds; parallel random-access machines; parity; sorting; } } @ARTICLE{BearCoEb87, author = {Mark F. Bear and Leon N. Cooper and Ford F. Ebner}, title = {A Physiological Basis for a Theory of Synapse Modification}, journal = {Science}, year = 1987, volume = 237, pages = {42--48}, month = {Jul 3}, comment = {Proposes that change in weight w_ij from i to j goes as d(w_ij)/dt = \phi(a_i,avg(a_i)) a_j where \phi is negative below (say) avg(a_i)**2, and positive above it.} } @ARTICLE{Beaudry92, author = {M. Beaudry and P. McKenzie and D. Th{\'e}rien}, title = {The Membership Problem in Aperiodic Transformation Monoids}, journal = jacm, year = 1992, volume = 39, pages = {599-616}, number = 3, month = jul, keywords = {Theory of Computation; } } @TECHREPORT{Beaver87, author = {D. Beaver}, title = {Polynomially Sized Boolean Circuits are not Learnable}, institution = {Aiken Computation Laboratory, Harvard University}, year = 1987, number = {TR-13-87}, month = dec } @ARTICLE{BeefermanBeLa99, author = {Doug Beeferman and Adam Berger and John D. Lafferty}, title = {Statistical Models for Text Segmentation}, journal = {Machine Learning}, year = 1999, volume = 34, pages = {177--210}, publisher = {Kluwer Academic Publishers, Boston} } @PHDTHESIS{Beer89, author = {Randall Dean Beer}, title = {Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology}, school = {Case Western Reserve University}, year = 1989, month = Aug, comment = {Simulates a cockroach using specially-designed neuralcircuitry} } @ARTICLE{Beeri89, author = {Catriel Beeri and Phillip A. Bernstein and Nathan Goodman}, title = {A Model for Concurrency in Nested Transaction Systems}, journal = jacm, year = 1989, volume = 36, pages = {230-269}, number = 2, month = apr, keywords = {Datbase Theory; Algorithms; Correctness; Verification; computational forest; concurrency control; nested transactions; serializability;} } @ARTICLE{BeeriDoFaSt84, author = {Beeri, C. and M. Dowd and R. Fagin and R. Statman}, title = {On the Structure of {A}rmstrong Relations for Functional Dependencies}, journal = JACM, year = 1984, volume = 31, pages = {30--46}, number = 1 } @INPROCEEDINGS{BeimelGeKu98, author = {Amos Beimel and Felix Geller and Eyal Kushilevitz}, title = {The query complexity of finding local minima in the lattice}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {294--302}, publisher = {ACM Press, New York, NY} } @ARTICLE{BeimelKu98, author = {Amos Beimel and Eyal Kushilevitz}, title = {Learning Boxes in High Dimension}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {76--90}, number = {1/2}, comment = {first in EuroColt '97} } @ARTICLE{BelewFo88, author = {Richard K. Belew and Stephanie Forrest}, title = {Learning and Programming in Classifier Systems}, journal = {Machine Learning}, year = 1988, volume = 3, pages = {193--223}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Bellare92, author = {M. Bellare}, title = {A technique for upper bounding the spectral norm with applications to learning}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {62--70}, publisher = {ACM Press, New York, NY} } @ARTICLE{BellareMi92, author = {Mihir Bellare and Silvio Micali}, title = {How to Sign Given any Trapdoor Permutation}, journal = jacm, year = 1992, volume = 39, pages = {214-233}, number = 1, month = jan, keywords = {Theory of Computation; Algorithms; Security; Theory; cryptography; digital signatures; randomness; trapdoor functions; } } @ARTICLE{Ben-AmramGa92, author = {Amir M. Ben-Amram and Zvi Galil}, title = {On Pointers versus Addresses}, journal = jacm, year = 1992, volume = 39, pages = {617-648}, number = 3, month = jul, keywords = {Theory of Computation; Algorithms; Theory; incompressibility; random access memory; pointer structures; } } @ARTICLE{Ben-David95, author = {Arie Ben-David}, title = {Monotonicity maintenance in information-theoretic machine learning algorithms}, journal = {Machine Learning}, year = 1995, volume = 19, pages = {29--43}, number = 1, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Ben-David98, author = {Shai Ben-David}, title = {Can Finite Samples Detect Singularities of Real-Valued Functions?}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {3--17}, number = {1/2}, comment = {first in 24th STOC '92} } @TECHREPORT{Ben-DavidBe91, author = {Ben-David, Shai and Gyora M. Benedek}, title = {Measurability Constraints on PAC Learnability}, institution = {Technion, Haifa}, year = 1991, comment = {The year listed here may be incorrect.} } @TECHREPORT{Ben-DavidBe91a, author = {S. Ben-David and G. M. Benedek}, title = {Measurability Constraints on {PAC} Learnability}, institution = {Technion, Haifa}, year = 1991, comment = {The year listed here may be incorrect.} } @INPROCEEDINGS{Ben-DavidBeMa89, author = {S. Ben-David and G. M. Benedek and Y. Mansour}, title = {A parametrization scheme for classifying models of learnability}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {285--302}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Ben-DavidBeMa89a, author = {Ben-David, Shai and Gyora M. Benedek and Yishay Mansour}, title = {A Parametrization Scheme for Classifying Models of Learnability}, booktitle = {Proceedings of COLT '89}, year = 1989, pages = {285--302}, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @INPROCEEDINGS{Ben-DavidCeLo92, author = {S. Ben-David and N. Cesa-Bianchi and P. M. Long}, title = {Characterizations of learnability for classes of $\{ 0,\dots ,n \}$-valued functions}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {333--340}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Ben-DavidDi93, author = {S. Ben-David and E. Dichterman}, title = {Learning with restricted focus of attention}, booktitle = COLT, year = 1993, pages = {287--296}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Ben-DavidDi94, author = {S. Ben-David and E. Dichterman}, title = {Learnability with restricted focus of attention guarantees noise-tolerance}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {248--259}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Ben-DavidEiKu95, author = {Shai Ben-David and Nadav Eiron and Eyal Kushilevitz}, title = {On self-directed learning}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {136--143}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Ben-DavidEiLo00, author = {Shai Ben-David and Nadav Eiron and Philip M. Long}, title = {On the Difficulty of Approximately Maximizing Agreements}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {266--274}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Ben-DavidEiSi00, author = {Shai Ben-David and Nadav Eiron and Hans Ulrich Simon}, title = {The Complexity of Densest Region Detection}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {255--265}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Ben-DavidGu95, author = {Shai Ben-David and Leonid Gurvits}, title = {A note on {VC}-dimension and measure of sets of reals}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {454--462}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Ben-DavidItKu90, author = {S. Ben-David and A. Itai and E. Kushilevitz}, title = {Learning by distances}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {232--245}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Ben-DavidJa93, author = {S. Ben-David and M. Jacovi}, title = {On learning in the limit and non-uniform $(\epsilon , \delta )$- learning}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {209--217}, publisher = {ACM Press, New York, NY} } @ARTICLE{Ben-DavidKuMa97, author = {Shai Ben-David and Eyal Kushilevitz and Yishay Mansour}, title = {Online learning versus offline learning}, journal = {Machine Learning}, year = 1997, volume = 29, pages = {45--63}, note = {Earlier version in EUROCOLT95}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Ben-DavidLi93, author = {S. Ben-David and M. Lindenbaum}, title = {Localization vs. identification of semi-algebraic sets}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {327--336}, publisher = {ACM Press, New York, NY} } @ARTICLE{Ben-DavidLi97, author = {Shai Ben-David and Michael Lindenbaum}, title = {Learning Distributions by Their Density Levels: {A} Paradigm for Learning without a Teacher}, journal = {J. Comput. Syst. Sci.}, year = 1997, volume = 55, pages = {171--182}, number = 1, note = {First appeared in EuroCOLT '95} } @ARTICLE{Ben-DavidMa95, author = {Arie Ben-David and Janice Mandel}, title = {(Research Note) Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {109--114}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Ben-DavidMa95a, author = {Ben-David, A. and J. Mandel}, title = {Classification Accuracy: {M}achin {L}earning vs. {E}xplicit {K}nowledge}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {109--114}, number = 1 } @ARTICLE{BenDavidEiSi02, author = {S. Ben-David and N. Eiron U. H. Simon}, title = {Limitations of Learning via Embeddings in Euclidean Half-Spaces}, journal = JMLR, year = 2002 } @BOOK{Bench-Capon90, title = {Knowledge Representation: An Approach to ArtificialIntelligence}, publisher = {Academic Press}, year = 1990, author = {Bench-Capon, T.J.M}, comment = {Q336.B46} } @INPROCEEDINGS{BenderSl94, author = {Michael A. Bender and Donna K. Slonim}, title = {The power of team exploration: two robots can learn unlabeled directed graphs}, booktitle = {Proc. of the 35rd Annual Symposium on Foundations of Computer Science}, year = 1994, pages = {75--85}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @UNPUBLISHED{Benedek88, author = {Benedek, Gyora M.}, title = {Ph.D. dissertation, in preparation}, note = {(To appear.)}, year = 1988 } @INPROCEEDINGS{BenedekIt88, author = {G. M. Benedek and A. Itai}, title = {Learnability by fixed distributions}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {80--90}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{BenedekIt88a, author = {Benedek, Gyora M. and Alon Itai}, title = {Nonuniform Learnability}, booktitle = {ICALP}, year = 1988, pages = {82--92}, month = Jul } @ARTICLE{BenedekIt91, author = {G. Benedek and A. Itai}, title = {Learnability with respect to Fixed Distributions}, journal = {Theoret. Comput. Sci.}, year = 1991, volume = 86, pages = {377--389}, number = 2, annote = {Was in COLT88 and was Technion-Israel Institute of Technology TR 468 in 1987} } @INPROCEEDINGS{BenedekIt92, author = {G. M. Benedek and A. Itai}, title = {Dominating distributions and learnability}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {253--264}, publisher = {ACM Press, New York, NY} } @ARTICLE{BennettDe96, author = {Scott W. Bennett and Gerald F. DeJong}, title = {Real-World Robotics: Learning to Plan for Robust Execution}, journal = {Machine Learning}, year = 1996, volume = 23, pages = {121--161}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Benson95, author = {Scott Benson}, title = {Inductive learning of reactive action models}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {47--54}, publisher = {Morgan Kaufmann} } @ARTICLE{BentleyOt79, author = {J. L. Bentley and T. A. Ottmann}, title = {Algorithms for reporting and counting geometric intersections}, journal = {IEEE Trans. Comput.}, year = 1979, volume = {C-28}, pages = {643--647}, number = 9, month = sep } @ARTICLE{BentleySa80, author = {J. L. Bentley and J. B. Saxe}, title = {Decomposable Searching Problems I: Static-to-Dynamic Transformation}, journal = JALG, year = 1980, volume = 1, pages = {301-358}, number = 4 } @INPROCEEDINGS{BergBi95, author = {Jan van den Berg and Jan C. 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Varricchio}, title = {Learning behaviors of automata from shortest counterexamples}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {380--391}, publisher = {Springer-Verlag} } @ARTICLE{BergadanoVa96, author = {Francesco Bergadano and Stefano Varricchio}, title = {Learning Behaviors of Automata from Multiplicity and Equivalence Queries}, journal = {{SIAM} J. Comput.}, year = 1996, volume = 25, pages = {1268--1280}, number = 6 } @BOOK{Berge89, title = {Hypergraphs}, publisher = {North Holland}, year = 1989, author = {C. Berge}, address = {Amsterdam} } @ARTICLE{Berger91, author = {Bonnie Berger and John Rompel}, title = {Simulating ($\log^{c}n$)-Wise Independence in {NC}}, journal = jacm, year = 1991, volume = 38, pages = {1026-1046}, number = 4, month = oct, keywords = {Theory of Computation; Algorithms; Theory; discrepancy; removing randomness;} } @ARTICLE{BergerDpDp96, author = "Adam L. Berger and Stephen A. Della Pietra and Vincent J. Della Pietra", title = "A Maximum Entropy Approach to Natural Language Processing", journal = "Computational Linguistics", year = 1996, volume = "22(1)", pages = "39-71" } @ARTICLE{BergerPa78, author = {J. Berger and C. Pair}, title = {Inference for Regular Bilanguages}, journal = {J. of Comput. Syst. Sci.}, year = 1978, volume = 16, pages = {100--122} } @ARTICLE{BergerPiPi96, author = {Adam L. Berger and Stephen A. Della Pietra and Vincent J. Della Pietra}, title = {A Maximum Entropy Approach to Natural Language Processing}, journal = {Computational Linguistics}, year = 1996, volume = {22(1)}, pages = {39-71} } @INPROCEEDINGS{BergerPr98, author = {A. Berger and H. Printz}, title = {Recognition performance of a large-scale dependency-grammar language model}, booktitle = {Int'l Conference on Spoken Language Processing (ICSLP'98)}, year = 1998, address = {Sydney, Australia} } @INPROCEEDINGS{BergerRoSh89, author = {B. Berger and J. Rompel and P. W. Shor}, title = {Efficient {NC} algorithms for set cover with applications to learning and geometry}, booktitle = {Proc. 30th Annu. IEEE Sympos. Found. Comput. Sci.}, year = 1989, pages = {54--59}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{Berggren93, author = {U. Berggren}, title = {Linear time deterministic learning of $k$-term {DNF}}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {37--40}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BergsmaKo07, author = {Bergsma, S. and Kondrak, G.}, title = {Alignment-Based Discriminative String Similarity}, booktitle = ACL, year = 2007, pages = {656--663}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1083} } @INPROCEEDINGS{BergsmaWa07, author = {Bergsma, Shane and Wang, Qin Iris}, title = {Learning Noun Phrase Query Segmentation}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {819--826}, url = {http://www.aclweb.org/anthology/D/D07/D07-1086} } @ARTICLE{Bergstra90, author = {J. A. Bergstra and J. Heering and P. 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Katenkamp}, title = {Learning radial basis function networks on-line}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {37--45}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{BlanzieriRi99, author = {Enrico Blanzieri and Francesco Ricci}, title = {A minimum risk metric for nearest neighbor classification}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {22--31}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{BleiMo01, author = {D. Blei and P. Moreno}, title = {Topic segmentation with an aspect hidden Markov model}, booktitle = {Proc. of the 24th annual international ACM SIGIR conference}, year = 2001 } @INPROCEEDINGS{BlitzerDrPe07, author = {Blitzer, John and Dredze, Mark and Pereira, Fernando}, title = {Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification}, booktitle = ACL, year = 2007, pages = {440--447}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1056} } @INPROCEEDINGS{BlitzerMcPe06, author = {John Blitzer and Ryan McDonald and Fernando Pereira}, title = {Domain Adaptation with Structural Correspondence Learning}, booktitle = SIGDAT, year = 2006, address = {Sydney, Australia} } @INPROCEEDINGS{BlockeelRaRa98, author = {Hendrik Blockeel and Luc De Raedt and Jan Ramon}, title = {Top-down induction of clustering trees}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {55--63}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{Bloom, author = {Burton H. Bloom}, title = {Space/{T}ime trade-offs in {H}ash {C}oding with allowable errors}, journal = {Communications of the ACM}, year = 1970, volume = 13, number = 7, pages = {422--426} } @ARTICLE{Bloom91, author = {Stephen L. Bloom and Zolt{\'a}n {\'E}sik}, title = {{F}loyd-{H}oare Logic in Iteration Theories}, journal = jacm, year = 1991, volume = 38, pages = {887-934}, number = 4, month = oct, keywords = {Logic; Algorithms; Theory; correction assertions; Hoare logic; } } @MASTERSTHESIS{Blum89, author = {Blum, A.}, title = {On the Computational Complexity of Training Simple Neural Networks}, school = {MIT Department of Electrical Engineering and Computer Science}, year = 1989, month = May, note = {(Published as Laboratory for Computer Science Technical Report MIT/LCS/TR-445 (May, 1989))} } @ARTICLE{Blum89a, author = {E. K. Blum}, title = {Approximation of Boolean functions by sigmoidal networks: Part {I}: {XOR} and other two-variable functions}, journal = {Neural Computation}, year = 1989, volume = 1, pages = {532--540}, month = feb } @INPROCEEDINGS{Blum90, author = {Blum, A.}, title = {Learning Boolean Functions in an Infinite Attribute Space}, booktitle = {Proceedings of the Twenty-Second Annual ACM Symposium on Theory of Computing}, year = 1990, address = {Baltimore, Maryland}, month = May, tag = {TOC-display} } @INPROCEEDINGS{Blum90a, author = {Blum, A.}, title = {Separating {PAC} and Mistake-Bound Learning Models over the {B}oolean Domain}, booktitle = {Proceedings of COLT '90}, year = 1990, publisher = {Morgan Kaufmann}, note = {To appear in 1990 COLT proceding}, tag = {TOC-display} } @ARTICLE{Blum90b, author = {A. Blum}, title = {Separating {PAC} and Mistake-Bound Learning Models over the Boolean Domain}, journal = {Proc. 31th Annu. IEEE Sympos. Found. Comput. Sci.}, year = 1990 } @INPROCEEDINGS{Blum90c, author = {Blum, A.}, title = {Separating Distribution-Free and Mistake-Bound Learning Modelsover the {B}oolean Domain}, booktitle = {Proceedings of the Thirty-First Annual Symposium onFoundations of Computer Science}, year = 1990, volume = {I}, pages = {211-218}, publisher = {IEEE}, tag = {TOC-display} } @ARTICLE{Blum92, author = {Blum, A.}, title = {Learning {B}oolean Functions in an Infinite Attribute Space}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {373--386}, number = 4 } @INPROCEEDINGS{Blum95, author = {A. Blum}, title = {Empirical support for {W}innow and weighted-majority based algorithms: results on a calendar scheduling domain}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {64--72}, publisher = {Morgan Kaufmann} } @ARTICLE{Blum97, author = {Avrim Blum}, title = {Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain}, journal = {Machine Learning}, year = 1997, volume = 26, pages = {5--23}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Blum97a, author = {Manuel Blum}, title = {Program Error Detection/Correction: {T}urning {PAC} Learning into {PERFECT} Learning}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {1--1}, publisher = {Springer-Verlag} } @ARTICLE{BlumBl75, author = {Blum, Lenore and Manuel Blum}, title = {Toward a Mathematical Theory of Inductive Inference}, journal = InfCtrl, year = 1975, volume = 28, pages = {125--155}, number = 2, month = Jun, comment = {Recursion-theoretic, a la Gold [Go67].} } @ARTICLE{BlumBu00, author = {Avrim Blum and Carl Burch}, title = {On-line Learning and the Metrical Task System Problem}, journal = {Machine Learning}, year = 2000, volume = 39, pages = {35--58}, number = 1, comment = {first in 10th COLT '97}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BlumCh92, author = {A. Blum and P. Chalasani}, title = {Learning switching concepts}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {231--242}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BlumCh93, author = {A. Blum and P. Chalasani}, title = {An on-line algorithm for improving performance in navigation.}, booktitle = {Proc. 34th Annu. IEEE Sympos. Found. Comput. Sci.}, year = 1993, pages = {2--11}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{BlumChJa93, author = {A. Blum and P. Chalasani and J. Jackson}, title = {On learning embedded symmetric concepts}, booktitle = {Proc. 6th Annu. Workshop on Comput. Learning Theory}, year = 1993, pages = {337--346}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BlumHeLi91, author = {Blum, A. and L. Hellerstein and N. Littlestone}, title = {Learning in the Presence of Finitely or Infinitely Many Irrelevant Attribute}, booktitle = COLT, year = 1991, pages = {155--166} } @ARTICLE{BlumHeLi95, author = {Avrim Blum and Lisa Hellerstein and Nick Littlestone}, title = {Learning in the presence of finitely or infinitely many irrelevant attributes}, journal = {J. of Comput. Syst. Sci.}, year = 1995, volume = 50, pages = {32--40}, number = 1, note = {Earlier version in 4th COLT, 1991} } @ARTICLE{BlumKa97, author = {Avrim Blum and Ravidran Kannan}, title = {Learning an Intersection of a Constant Number of Halfspaces over a Uniform Distribution}, journal = {J. Comput. Syst. Sci.}, year = 1997, volume = 54, pages = {371--380}, number = 2, note = {First appeared in FOCS '93} } @ARTICLE{BlumKa98, author = {Avrim Blum and Adam Kalai}, title = {A note on learning from multiple-instance examples}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {23--29}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{BlumKa99, author = {Avrim Blum and Adam Kalai}, title = {Universal Portfolios With and Without Transaction Costs}, journal = {Machine Learning}, year = 1999, volume = 35, pages = {193--205}, number = 3, comment = {first in 10th COLT '97}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BlumKaLa99, author = {Avrim Blum and Adam Kalai and John Langford}, title = {Beating the hold-out: bounds for k-fold and progressive cross-validation}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {203--208}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BlumMi98, author = {A. Blum and T. Mitchell}, title = {Combining Labeled and Unlabeled Data with Co-training}, booktitle = COLT, year = 1998, pages = {92--100} } @INPROCEEDINGS{BlumRaSc91, author = {Blum, A. and Raghavan, Prabhakar and Schieber, Baruch}, title = {Navigating in Unfamiliar Geometric Terrain}, booktitle = {Proceedings of Twenty-Third ACM Symposium on Theory ofComputing}, year = 1991, pages = {494-504}, publisher = {ACM} } @INCOLLECTION{BlumRi89, author = {Blum, A. and Ronald L. Rivest}, title = {Training a 3-node neural net is {NP-Complete}}, booktitle = {Advances in Neural Information Processing Systems I}, publisher = {Morgan Kaufmann}, year = 1989, editor = {Daid S. Touretzky}, pages = {494--501}, tag = {TOC-display} } @INPROCEEDINGS{BlumRu92, author = {Blum, A. and S. Rudich}, title = {Fast Learning of $k$-term {DNF} Formulas with Queries}, booktitle = {Proceedings of Twenty-Fourth ACM Symposium on Theory ofComputing}, year = 1992, pages = {382--389}, publisher = {ACM} } @ARTICLE{BlumRu95, author = {Avrim Blum and Stephen Rudich}, title = {Fast learning of k-term {DNF} formulas with queries}, journal = {J. of Comput. Syst. Sci.}, year = 1995, volume = 51, pages = {367--373}, number = 3 } @INPROCEEDINGS{BlumSi90, author = {Blum, A. and M. Singh}, title = {Learning Functions of $k$ Terms}, booktitle = {Proceedings of COLT '90}, year = 1990, pages = {144--153}, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @ARTICLE{BlumerLi89, author = {A. Blumer and N. Littlestone}, title = {Learning Faster than Promised by the {V}apnik-{C}hervonenkis Dimension}, journal = {Discrete Applied Mathematics}, year = 1989, volume = 24, pages = {47--53}, annote = {Was also in First Montreal Conference on Combinatorics and Computer Science, University of Montreal, 1987} } @ARTICLE{BoardPi89, author = {R. A. Board and L. Pitt}, title = {Semi-Supervised Learning}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {41--65}, number = 1, annote = {Univ. of Illinois TR-87-1372 in 1987}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{BoardPi92, author = {R. Board and L. Pitt}, title = {On the Necessity of {O}ccam Algorithms}, journal = {Theoret. Comput. Sci.}, year = 1992, volume = 100, pages = {157--184}, annote = {Was Univ of Illinois at Urbana TR-89-1544 in 1989 and in STOC90} } @INPROCEEDINGS{Bod07, author = {Bod, Rens}, title = {Is the End of Supervised Parsing in Sight?}, booktitle = ACL, year = 2007, pages = {400--407}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1051} } @INPROCEEDINGS{Bod93, author = {Rens Bod}, title = {Using annotated corpus as a stochastic grammar}, booktitle = {EACL}, year = 1993 } @ARTICLE{BohanecBr94, author = {Marko Bohanec and Ivan Bratko}, title = {Trading accuracy for simplicity in decision trees}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {223--250}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BohringerDoHa97, author = {K.-F. B{\"o}hringer and B. Donald and D. Halperin}, title = {The Area Bisectors of a Polygon and Force Equilibria in Programmable Vector Fields}, booktitle = SOCG, year = 1997, pages = {457--459} } @ARTICLE{BohringerDoHa99, author = {K.-F. B{\"o}hringer and B. Donald and D. Halperin}, title = {The Area Bisectors of a Polygon and Force Equilibria in Programmable Vector Fields}, journal = DCG, year = 1999, volume = 22, pages = {269--285}, number = 2 } @UNPUBLISHED{BoissonnatMa01, author = {J.-D. Boissonnat and G. Malandain}, title = {Computing the diameter of a point set}, note = {submitted to SoCG 2001 applied track and rejected}, year = 2001, annote = {{699}} } @BOOK{BoissonnatYv98, title = {Algorithmic Geometry}, publisher = {Cambridge University Press}, year = 1998, author = {J.-D. Boissonnat and M. Yvinec}, address = {UK}, note = {Translated by H. 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Broder and Istvan Simon}, title = {The Cost Distribution of Clustering in Random Probing}, journal = jacm, year = 1990, volume = 37, pages = {224-237}, number = 2, month = apr, keywords = {Data Structure and Algorithms; Algorithms; Theory; clustering; hashing; open addressing; random probing; uniform hashing; } } @BOOK{Bollobas98, title = {Modern Graph Theory}, publisher = {Springer-Verlag}, year = 1998, author = {B. Bollobas} } @INPROCEEDINGS{Boneh95, author = {Dan Boneh}, title = {Learning using group representations}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {418--426}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BonehLi93, author = {D. Boneh and R. Lipton}, title = {Amplification of weak learning under the uniform distribution}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {347--351}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BonetGe98, author = {Blai Bonet and H{\'e}ctor Geffner}, title = {Learning sorting and decision trees with {POMDP}s}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {73--81}, publisher = {Morgan Kaufmann, San Francisco, CA} } @BOOK{Bongard70, title = {Pattern Recognition}, publisher = {Spartan Books}, year = 1970, author = {Bongard, M.} } @INPROCEEDINGS{Bonissone91, author = {Bonissone, P. Piero}, title = {Approximate Reasoning Systems: A Personal Perspective}, year = 1991, journal = {Proceedings of AAAI-91} } @INPROCEEDINGS{BontempiBiBe99, author = {Gianluca Bontempi and Mauro Birattari and Hugues Bersini}, title = {Local learning for iterated time series prediction}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {32--38}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{Booker88, author = {Lashon B. Booker}, title = {Classifier Systems that Learn Internal World Models}, journal = {Machine Learning}, year = 1988, volume = 3, pages = {161--192}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{BooseGa89, author = {John H. Boose and Brian R. Gaines}, title = {Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {377--394}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{BorgidaPa94, author = {Alexander Borgida and Peter F. Patel-Schneider}, title = {A Semantics and Complete Algorithm for Subsumption in the {CLASSIC} Description Logic}, journal = {Journal of Artificial Intelligence Research}, year = 1994, volume = 1, pages = {277-308} } @ARTICLE{Borodin92, author = {Allan Borodin and Nathan Linial and Michael E. Saks}, title = {An Optimal On-Line Algorithm for Metrical Task System}, journal = jacm, year = 1992, volume = 39, pages = {745-763}, number = 4, month = oct, keywords = {Analysis of Algorithms; Algorithms; Performance; Theory; competitive analysis; on-line algorithms; } } @INPROCEEDINGS{BorodinOsRa99, author = {A. Borodin and R. Ostrovsky and Y. Rabani}, title = {Subquadratic Approximation Algorithms For clustering Problems in High Dimensional Spaces}, booktitle = STOC, year = 1999, pages = {312--321} } @ARTICLE{BorosCrHa90, author = {E. Boros and Y. Crama and P. L. Hammer}, title = {Polynomial-time inference of all valid implications for {H}orn and related formulae}, journal = {Annals of Mathematics and Artificial Intelligence}, year = 1990, volume = 1, pages = {21--32} } @INPROCEEDINGS{BorosIbMa97, author = {Endre Boros and Toshihide Ibaraki and Kazuhisa Makino}, title = {Monotone extensions of {B}oolean data sets}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {161--175}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BosMa05, author = {Johan Bos and Katja Markert}, title = {When logical inference helps determining textual entailment (and when it doesn't)}, booktitle = {Proceedings of the Second PASCAL Challenges Workshop on Recognizing Textual Entailment}, year = 2005, } @INPROCEEDINGS{Bosch99, author = {Antal van den Bosch}, title = {Instance-family abstraction in memory-based language learning}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {39--48}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{BoserGuVa92, author = {B. 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Piola}, title = {{FONN}: Combining First Order Logic with Connectionist Learning}, booktitle = ICML, year = 1997, pages = {46-56}, } @ARTICLE{BottaPi00, author = {Marco Botta and Roberto Piola}, title = {Refining Numerical Constants in First Order Logic Theories}, journal = {Machine Learning}, year = 2000, volume = 38, pages = {109--131}, number = {1/2}, publisher = {Kluwer Academic Publishers, Boston} } @UNPUBLISHED{Boucheron88, author = {St\'ephane Boucheron}, title = {Learnability from positive examples in the {V}aliant framework}, note = {Unpublished manuscript}, year = 1988 } @INPROCEEDINGS{BoucheronSa88, author = {S. Boucheron and J. Sallantin}, title = {Some remarks about space-complexity of learning, and circuit complexity of recognizing}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {125--138}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{BoultonWa73, author = {Boulton, D. M. and C. S. 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Resnik}, title = {A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation}, booktitle = Coling, year = 1994 } @article(Briscoe93, author = "Ted Briscoe and John Carroll", title = "Generalized probabilistic {LR} parsing of natural language corpora with unification-based grammars", journal = CL, pages = "25--60", volume = 19, number = 1, year = 1993 ) @ARTICLE{BriscoeCa93, author = {Ted Briscoe and John Carroll}, title = {Generalized probabilistic {LR} parsing of natural language corpora with unification-based grammars}, journal = CL, year = 1993, volume = 19, pages = {25--60}, number = 1 } @INPROCEEDINGS{BrodalJa00, author = {G. Brodal and R. Jacob}, title = {Dynamic Planar Convex Hull with Optimal Query Time and $O(\log n\cdot\log\log n)$ Update Time}, booktitle = SWAT, year = 2000, pages = {57--70} } @INPROCEEDINGS{BrodalJa02, author = {G. S. Brodal and R. Jacob}, title = {Dynamic Planar Convex Hull}, booktitle = FOCS, year = 2002, note = {to appear} } @INPROCEEDINGS{Broder97, author = {A. Z. Broder}, title = {On the resemblance and containment of documents}, booktitle = {Compress. Complex. Sequences (SEQUENCES'97)}, year = 1997, pages = {21--29} } @INPROCEEDINGS{BrodieDe99, author = {Mark Brodie and Gerald DeJong}, title = {Learning to ride a bicycle using iterated phantom induction}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {57--66}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Brodley95, author = {Carla E. Brodley}, title = {Automatic selection of split criterion during tree growing based on node location}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {73--80}, publisher = {Morgan Kaufmann} } @ARTICLE{Brodley95a, author = {Carla E. 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Pion}, title = {Interval Arithmetic Yields Efficient Dynamic Filters for Computational Geometry}, booktitle = SOCG, year = 1998, pages = {165--174} } @ARTICLE{BronnimannGo95, author = {H. Br{\"o}nnimann and M. T. Goodrich}, title = {Almost Optimal Set Covers in Finite {VC}-Dimension}, journal = DCG, year = 1995, volume = 14, pages = {263--279} } @ARTICLE{BronshteynIv76, author = {E. M. Bronshteyn and L. D. Ivanov}, title = {The Approximation of Convex Sets by Polyhedra}, journal = {Siberian Math. J.}, year = 1976, volume = 16, pages = {852--853} } @INPROCEEDINGS{Brooks91, author = {R. Brooks}, title = {The role of learning in autonomous robots}, booktitle = {Proc. 4th Annu. Workshop on Comput. Learning Theory}, year = 1991, pages = {5--10}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{Brooks91a, author = {Brooks, R. 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Mercer", title = "Aligning sentences in parallel corpora", booktitle = ACL, year = 1991 ) @article(Brown92, author = "P. Brown and V. Della Pietra and P. deSouza and J. Lai and R. Mercer", title = "Class-based n-gram models of natural language", journal = CL, volume = 18, number = 4, pages = "467--479", year = 1992 ) @inproceedings(Brown92b, author = "P. Brown and S. Della Pietra and V.Della Pietra and J. Lafferty and R. Mercer", title = "Analysis, statistical transfer, and synthesis in machine translation", booktitle = TMI, pages = "83--100", year = 1992 ) @article(Brown93, author = "Peter Brown and Stephen Della Pietra and Vincent Della Pietra and Robert Mercer", title = "The mathematics of statistical machine translation: parameter estimation", journal = CL, volume = 19, number = 2, pages = "263--311", year = 1993 ) @inproceedings(Brown93b, author = "Peter Brown and Stephen Della Pietra and Vincent Della Pietra and Robert Mercer", title = "But dictionaries are data too", booktitle = ARPA, pages = "202--205", year = 1993 ) @INPROCEEDINGS{BrownLaMe91, author = {P. Brown and J. Lai and R. Mercer}, title = {Aligning sentences in parallel corpora}, booktitle = ACL, year = 1991 } @ARTICLE{BrownNgrams, author = {Peter F. Brown and Vincent J. Della Pietra and Peter V. deSouza and Jenifer C. Lai and Robert L. Mercer}, title = {Class-{B}ased n-gram {M}odels of {N}atural {L}anguage}, journal = {Computational Linguistics}, volume = 18, number = 4, year = 1992, pages = {467--479} } @Article{BrownPiDeLaMe92, AUTHOR = "P. F. Brown and V. J. D. Pietra and P. V. DeSouza and J. C. Lai and R. L. Mercer", TITLE = "Class-based n-gram models of natural language", journal = CL, YEAR = 1992, volume = 18, number = 4, pages = {467-479} } @INPROCEEDINGS{BrownPiPiMe91, AUTHOR = "P. F. Brown and S. A. D. Pietra and V. J. D. Pietra and R. L. Mercer", TITLE = "Word Sense Disambiguation Using Statistical Methods", BOOKTITLE = "Proceedings of ACL-1991", YEAR = 1991, } @ARTICLE{Bruck90, author = {Bruck, J.}, title = {Harmonic analysis of polynomial threshold functions}, journal = {SIAM J. on Disc. Math}, year = 1990, volume = 3, pages = {168--177}, number = 2, month = May } @INPROCEEDINGS{BruckSm90, author = {Bruck, J. and R. Smolensky}, title = {Polynomial threshold functions, {$AC^0$} functions and spectral norms}, booktitle = {31st Annual Symposium on Foundations of Computer Science}, year = 1990, pages = {632--641}, month = Oct } @ARTICLE{Brunak91, author = {Brunak, S. and Engelbrecht, J. and Knudsen, S.}, title = {Prediction of Human m{RNA} Donor and Acceptor Sitesfrom the {DNA} Sequence}, journal = {Journal of Molecular Biology}, year = 1991, volume = 220, pages = {49--65} } @INPROCEEDINGS{BrunkPa95, author = {Clifford Brunk and Michael Pazzani}, title = {A lexically based semantic bias for theory revision}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {81--89}, publisher = {Morgan Kaufmann} } @ARTICLE{Bryant91, author = {Randal E. Bryant}, title = {A Methodology for Hardware Verification Based on Logic Simulation}, journal = jacm, year = 1991, volume = 38, pages = {299-328}, number = 2, month = apr, keywords = {Computer Systems; Theory; Verification; hardware verification; logic simulation; ternary simulation; } } @ARTICLE{Brzozowski89, author = {J. A. Brzozowski and C.-J. Seger}, title = {A Unified Framework for Race Analysis of Asynchronous Networks}, journal = jacm, year = 1989, volume = 36, pages = {20-45}, number = 1, month = jan, keywords = {Computer Systems; Algorithms; Design; Theory; Verification; asynchronous circuits; races; switch-level models; ternary simulation; } } @INPROCEEDINGS{Bshouty93, author = {Bshouty, N. H.}, title = {Exact Learning via the Monotone Theory}, booktitle = FOCS, year = 1993, pages = {302--311}, address = {Palo Alto, CA.} } @ARTICLE{Bshouty93a, author = {Nader H. Bshouty}, title = {On the Complexity of Functions for Random Access Machines}, journal = jacm, year = 1993, volume = 40, pages = {211-223}, number = 2, month = apr, keywords = {Analysis of Algorithms; Algorithms; Theory; Verification; greatest common divisor; indirect addressing; random access machine; sorting;} } @ARTICLE{Bshouty95, author = {Bshouty, N. H.}, title = {Exact Learning via the Monotone Theory}, journal = {Information and Computation}, year = 1995, volume = 123, pages = {146-153}, number = 1 } @INPROCEEDINGS{Bshouty95a, author = {Nader H. Bshouty}, title = {A note on learning multivariate polynomials under the uniform distribution}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {79--82}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Bshouty95b, author = {Nader H. Bshouty}, title = {Simple learning algorithms using divide and conquer}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {447--453}, publisher = {ACM Press, New York, NY} } @ARTICLE{Bshouty97, author = {Nader H. Bshouty}, title = {Exact Learning of Formulas in Parallel}, journal = {Machine Learning}, year = 1997, volume = 26, pages = {25--41}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BshoutyBs94, author = {D. Bshouty and N. H. Bshouty}, title = {On learning arithmetic read-once formulas with exponentiation}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {311--317}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyChHo94, author = {Nader H. Bshouty and Zhixiang Chen and Steve Homer}, title = {On learning discretized geometric concepts}, booktitle = {Proc. of the 35rd Annual Symposium on Foundations of Computer Science}, year = 1994, pages = {54--63}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{BshoutyCl92, author = {N. H. Bshouty and R. Cleve}, title = {On the exact learning of formulas in parallel}, booktitle = {Proc. of the 33rd Symposium on the Foundations of Comp. Sci.}, year = 1992, pages = {513--522}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{BshoutyEiKu99, author = {Nader H. Bshouty and Nadav Eiron and Eyal Kushilevitz}, title = {{PAC} Learning with Nasty Noise}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {206--218}, publisher = {Springer-Verlag} } @INPROCEEDINGS{BshoutyGoMa95, author = {Nader H. Bshouty and Sally A. Goldman and David H. Mathias}, title = {Noise-tolerant parallel learning of geometric concepts}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {345--352}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyHaHe92, author = {N. H. Bshouty and T. R. Hancock and L. Hellerstein}, title = {Learning arithmetic read-once formulas}, booktitle = {Proc. 24th Annu. ACM Sympos. Theory Comput.}, year = 1992, pages = {370--381}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyHaHe92a, author = {N. H. Bshouty and T. R. Hancock and L. Hellerstein}, title = {Learning {B}oolean read-once formulas with arbitrary symmetric and constant fan-in gates}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {1--15}, publisher = {ACM Press, New York, NY} } @UNPUBLISHED{BshoutyHaHeKa91, author = {Bshouty, Nader and Lisa Hellerstein and T. Hancock and Marek Karpinski}, title = {Read-once threshold formulas, justifying assignments,and transformations}, note = {To appear in the Journal of Complexity Theory, 93}, month = Dec, year = 1991 } @INPROCEEDINGS{BshoutyHe96, author = {Nader H. Bshouty and Lisa Hellerstein}, title = {Attribute-efficient learning in query and mistake-bound models}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {235--243}, publisher = {ACM Press, New York, NY} } @ARTICLE{BshoutyJa99, author = {Nader H. Bshouty and Jeffrey C. Jackson}, title = {Learning {DNF} over the Uniform Distribution Using a Quantum Example Oracle}, journal = {{SIAM} J. Comput.}, year = 1999, volume = 28, pages = {1136--1153}, number = 3, notes = {first in COLT '95} } @INPROCEEDINGS{BshoutyJaTa99, author = {Nader H. Bshouty and Jeffrey C. Jackson and Christino Tamon}, title = {More efficient {PAC}-learning of {DNF} with membership queries under the uniform distribution}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {286--295}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyJaTa99a, author = {Nader H. Bshouty and Jeffrey C. Jackson and Christino Tamon}, title = {Uniform-distribution attribute noise learnability}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {75--80}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyMa95, author = {Nader H. Bshouty and Yishay Mansour}, title = {Simple learning algorithms for decision trees and multivariate polynomials}, booktitle = {Proc. of the 36th Annual Symposium on Foundations of Computer Science}, year = 1995, pages = {304--311}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{BshoutyTa95, author = {Nader Bshouty and Christino Tamon}, title = {On the {F}ourier spectrum of monotone functions}, booktitle = {Proc. 27th Annual ACM Symposium on Theory of Computing}, year = 1995, pages = {219--228}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyTaWi95, author = {Nader H. Bshouty and Christino Tamon and David K. Wilson}, title = {On learning decision trees with large output domains}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {190--197}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{BshoutyTaWi96, author = {Nader H. Bshouty and Christino Tamon and David K. Wilson}, title = {On learning width two branching programs}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {224--227}, publisher = {ACM Press, New York, NY} } @ARTICLE{BshoutyTaWi98, author = {Nader H. Bshouty and Christino Tamon and David K. Wilson}, title = {Learning Matrix Functions over Rings}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {91--111}, number = {1/2}, comment = {first in EuroColt '97} } @INPROCEEDINGS{BshoutyWi99, author = {Nader H. Bshouty and David K. Wilson}, title = {On learning in the presence of unspecified attribute values}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {81--87}, publisher = {ACM Press, New York, NY} } @ARTICLE{Buchanan89, author = {Bruce G. Buchanan}, title = {Can Machine Learning Offer Anything to Expert Systems?}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {251--254}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{BuchholzVeDa99, author = {S. Buchholz and J. Veenstra and W. Daelemans}, title = {Cascaded Grammatical Relation Assignment}, booktitle = {EMNLP-VLC'99, the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora}, year = 1999, month = Jun } @INPROCEEDINGS{BuckleySaAl94, author = {C. Buckley and G. Salton and J. Allan}, title = {The effect of adding relevance information in a relevance feedback environment}, booktitle = {Proc. 17th Annu. Internat. 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Wertment and E. Riloff and G. Scheler}, pages = {315--328} } @INPROCEEDINGS{CardieHo97, author = {Claire Cardie and Nicholas Howe}, title = {Improving minority class prediction using case-specific feature weights}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {57--65}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{CardieMaPi99, author = {Claire Cardie and Scott Mardis and David Pierce}, title = {Combining error-driven pruning and classification for partial parsing}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {87--96}, publisher = {Morgan Kaufmann, San Francisco, CA} } @incollection{CardieMo99, editor = {C. Cardie and R. Mooney}, journal = {Machine Learning}, volume = 34, year = 1999, booktitle = {Special Issue on Machine Learning and Natural Language.}, } @INPROCEEDINGS{CardiePi98, author = {Cardie, C. and D. Pierce}, title = {Error-Driven Pruning of {T}reebanks grammars for Base Noun Phrase Identification}, booktitle = {Proceedings of ACL-98}, year = 1998, pages = {218--224} } @inCollection(Carlson98, author = "G. Carlson", year = 1998, title = "Thematic roles and the individuation of events", editor = "S. D. Rothstein", booktitle = "Events and Grammar", pages = "35-51", address = "Dordrecht", publisher = "Kluwer" ) @BOOK{Carpenter92, title = {The Logic of Typed Feature Structures}, publisher = {Cambridge University Press}, year = 1992, author = {Bob Carpenter}, address = {Cambridge, England} } @INPROCEEDINGS{CarpuatWu07, author = {Carpuat, Marine and Wu, Dekai}, title = {Improving Statistical Machine Translation Using Word Sense Disambiguation}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {61--72}, url = {http://www.aclweb.org/anthology/D/D07/D07-1007} } @INPROCEEDINGS{CarrascoOn94, author = {R. Carrasco and J. Oncina}, title = {Learning stochastic regular grammars by means of a state merging method}, booktitle = {Proc. 2nd International Colloquium on Grammatical Inference - ICGI '94}, year = 1994, volume = 862, series = {Lecture Notes in Artificial Intelligence}, pages = {139--150}, publisher = {Springer-Verlag} } @INPROCEEDINGS{CarrascoOnCa98, author = {R. C. Carrasco and J. Oncina and J. Calera}, title = {Stochastic inference of regular tree languages}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {187--198}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Carreras07, author = {Carreras, Xavier}, title = {Experiments with a Higher-Order Projective Dependency Parser}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {957--961}, url = {http://www.aclweb.org/anthology/D/D07/D07-1101} } @INPROCEEDINGS{CarrerasM04, author = {X. Carreras and L. M\`{a}rquez}, title = {Introduction to the {CoNLL}-2004 Shared Tasks: Semantic Role Labeling}, booktitle = {Proceedings of CoNLL-2004}, year = 2004, pages = {89--97}, publisher = {Boston, MA, USA} } @INPROCEEDINGS{CarrerasM04a, author = {X. Carreras and L. M\`{a}rquez}, title = {Online Learning via Global Feedback for Phrase Recognition}, booktitle = {Proceedings of The 2003 Conference on Advances in Neural Information Processing Systems (NIPS-2003)}, year = 2004, publisher = {MIT Press} } @INPROCEEDINGS{CarrerasM05, author = {X. Carreras and L. M\`{a}rquez}, title = {Introduction to the {CoNLL}-2005 Shared Task: Semantic Role Labeling}, booktitle = {Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)}, year = 2005, pages = {152--164}, address = {Ann Arbor, Michigan}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/W/W05/W05-0620} } @INPROCEEDINGS{Caruana96, author = {Rich Caruana}, title = {Algorithms and applications for multitask learning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {87--95}, publisher = {Morgan Kaufmann} } @ARTICLE{Caruana97, author = {Rich Caruana}, title = {Multitask learning}, journal = {Machine Learning}, year = 1997, volume = 28, pages = {41--75}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{CaruanaFr94, author = {Rich Caruana and Dayne Freitag}, title = {Greedy attribute selection}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {28--36}, publisher = {Morgan Kaufmann} } @UNPUBLISHED{Cary01, author = {M. Cary}, title = {Towards optimal $\epsilon$-approximate nearest neighbor algorithms in constant dimnesions}, note = {from web page}, year = 2001, annote = {{691}} } @ARTICLE{Case74, author = {J. Case}, title = {Periodicity in generations of automata}, journal = {Math. Syst. Theory}, year = 1974, volume = 8, pages = {15--32} } @ARTICLE{Case82, author = {J. Case}, title = {Problems in Inductive Inference}, journal = {Bulletin of the European Association for Theoretical Computer Science}, year = 1982, volume = 18, pages = {117--118} } @INCOLLECTION{Case86, author = {J. Case}, title = {Learning Machines}, booktitle = {Language Learning and Concept Acquisition}, publisher = {Ablex Publishing Company}, year = 1986 } @INPROCEEDINGS{Case88, author = {J. Case}, title = {The power of vacillation}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {196--205}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{Case94, author = {J. Case}, title = {Infinitary Self-Reference in Learning Theory}, journal = {J. of Experimental and Theoret. Artif. Intell.}, year = 1994, volume = 6, pages = {3--36}, number = 1, note = {Special issue for AII '92}, comment = {Supersedes University of Delaware TR-93-15} } @ARTICLE{Case99, author = {John Case}, title = {The Power of Vacillation in Language Learning}, journal = {{SIAM} J. Comput.}, year = 1999, volume = 28, pages = {1941--1969}, number = 6 } @UNPUBLISHED{CaseCh86, author = {J. Case and H. Chi}, title = {Machine Learning of Nearly Minimal Size Grammars}, note = {Unpublished Manuscript}, year = 1986 } @ARTICLE{CaseChJa92, author = {J. Case and K. J. Chen and S. Jain}, title = {Strong Separation of Learning Classes}, journal = {J. of Experimental and Theoret. Artif. Intell.}, year = 1992, volume = 4, pages = {281--293}, annote = {Was in {\sl Analogical and Inductive Inference, International Workshop AII'92}, Dagstuhl Castle, Germany. Lecture Note in AI 642, October 1992} } @INPROCEEDINGS{CaseChJa99, author = {John Case and Keh-Jiann Chen and Sanjay Jain}, title = {Costs of General Purpose Learning}, booktitle = {Proc.~16th Annual Symposium on Theoretical Aspects of Computer Science - STACS '99}, year = 1999, volume = 1563, series = {Lecture Notes in Computer Science}, pages = {424--433}, publisher = {Springer-Verlag} } @ARTICLE{CaseFu83, author = {J. Case and M. Fulk}, title = {Solution to inductive inference problem {P3}}, journal = {Bulletin of the European Association for Theoretical Computer Science}, year = 1983, volume = 19, pages = 8 } @ARTICLE{CaseFu99, author = {J. Case and M. A. Fulk}, title = {Maximal machine learnable classes}, journal = {J. of Comput. Syst. Sci.}, year = 1999, volume = 58, pages = {211--214}, number = 1 } @INPROCEEDINGS{CaseJa98, author = {J. Case and S. Jain}, title = {Synthesizing Learners Tolerating Computable Noisy Data}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {205--219}, publisher = {Springer-Verlag} } @ARTICLE{CaseJaMa94, author = {J. Case and S. Jain and S. Ngo Manguelle}, title = {Refinements of Inductive Inference by Popperian and Reliable Machines}, journal = {Kybernetika}, year = 1994, volume = {30--1}, pages = {23--52} } @INPROCEEDINGS{CaseJaSh90, author = {J. Case and S. Jain and A. Sharma}, title = {Anomalous Learning Helps Succinctness}, booktitle = {Proc. of the First Workshop on Algorithmic Learning Theory, Tokyo, Japan}, year = 1990, pages = {282--288}, month = oct, publisher = {Japanese Society for Artificial Intelligence}, annote = {Was Tech Report 93-01 from Univ. of Deleware in 1993} } @ARTICLE{CaseJaSh92, author = {J. Case and S. Jain and A. Sharma}, title = {On Learning Limiting Programs}, journal = {Internat. J. of Found. of Comput. Sci.}, year = 1992, volume = 3, pages = {93--115}, number = 1, annote = {Was in COLT92 and was University of Deleware TR 92-05} } @ARTICLE{CaseJaSh94, author = {John Case and Sanjay Jain and Arun Sharma}, title = {Vacillatory learning of nearly-minimal size grammars}, journal = {J. of Comput. Syst. Sci.}, year = 1994, volume = 49, pages = {189--207}, number = 2 } @ARTICLE{CaseJaSh95, author = {J. Case and S. Jain and A. Sharma}, title = {Complexity Issues for Vacillatory Function Identification}, journal = {Inform. Comput.}, year = 1995, volume = 116, annote = {Earlier version in {\it Proceedings, Foundations of Software Technology and Theoretical Computer Science, Eleventh Conference, New Delhi, India. 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Jain}, title = {Not-So-Nearly-Minimal-Size Program Inference}, booktitle = {Proc. of the Fourth Workshop on Algorithmic Learning Theory, Tokyo, Japan}, year = 1993, month = oct, publisher = {Japanese Society for Artificial Intelligence}, note = {To Appear} } @TECHREPORT{CaseNg79, author = {J. Case and S. Ngo-Manguelle}, title = {Refinements of inductive inference by Popperian machines}, institution = {SUNY Buffalo, Dept. of Computer Science}, year = 1979, number = 152 } @ARTICLE{CaseSm83, author = {J. Case and C. Smith}, title = {Comparison of Identification Criteria for Machine Inductive Inference}, journal = {Theoret. Comput. Sci.}, year = 1983, volume = 25, pages = {193--220}, annote = {Was in STOC78} } @BOOK{CasellaBe90, title = {Introduction to Statistical Inference}, publisher = {The Wadworth \& Brooks/Cole Publishing Company}, year = 1990, author = {Casella, G. and Berger, R. 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Helmbold and Sandra Panizza}, title = {On {B}ayes Methods for On-Line {B}oolean Prediction}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {112--137}, number = {1/2}, comment = {first in 9th COLT '96} } @ARTICLE{Cesa-BianchiKrWa94, author = {N. Cesa-Bianchi and A. Krogh and M. K. Warmuth}, title = {Bounds on approximate steepest descent for likelihood maximization in exponential families}, journal = {{\em IEEE Transaction on Information Processing}}, year = 1994, volume = 40, pages = {1215--1220}, number = 4, month = jul } @INPROCEEDINGS{Cesa-BianchiLoWa93, author = {N. Cesa-Bianchi and P. Long and M. Warmuth}, title = {Worst-case quadratic loss bounds for a generalization of the {W}idrow-{H}off rule}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {429--438}, publisher = {ACM Press, New York, NY} } @ARTICLE{Cesa-BianchiLoWa95, author = {N. Cesa-Bianchi and P. Long and M. K. Warmuth}, title = {Worst-case quadratic loss bounds for on-line prediction of linear functions by gradient descent}, journal = {IEEE Transactions on Neural Networks}, year = 1995, note = {To appear. An extended abstract appeared in COLT '93.} } @INPROCEEDINGS{Cesa-BianchiLu98, author = {Nicol{\`o} Cesa-Bianchi and G{\'a}bor Lugosi}, title = {On sequential prediction of individual sequences relative to a set of experts}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {1--11}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Cesa-BianchiLu99, author = {Nicol{\`o} Cesa-Bianchi and G{\'a}bor Lugosi}, title = {Minimax regret under log loss for general classes of experts}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {12--18}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{CestnikBr87, author = {I. K. {Cestnik, B} and I. Bratko}, title = {Assistant 86: {A} Knowledge-Elicitation Tool for Sophisticated Users}, booktitle = {Progress in Machine Learning--Proceedings of EWSL 87: 2nd European Working Session on Learning}, year = 1987, pages = {31--45}, address = {Bled, Yogoslavia}, month = may } @INPROCEEDINGS{Chan00, author = {T.M.~Chan}, title = {Approximating the Diameter, width, smallest enclosing cylinder and minimum-width annulus}, booktitle = SOCG, year = 2000, pages = {300--309} } @INPROCEEDINGS{Chan00b, author = {T. M. Chan}, title = {On levels in arrangements of curves}, booktitle = FOCS, year = 2000, pages = {??}, nickname = {FOCS 2000} } @ARTICLE{Chan02, author = {T. M. Chan}, title = {Approximating the Diameter, width, smallest enclosing cylinder and minimum-width annulus}, journal = IJCGA, year = 2002, volume = 12, pages = {67--85}, number = 2, url = {http://www.worldscinet.com/ijcga/12/1201n02/S0218195902000748.html} } @INPROCEEDINGS{Chan02a, author = {T. M. Chan}, title = {Low-dimensional linear programming with violations}, booktitle = FOCS, year = 2002, pages = {570--579}, url = {http://www.math.uwaterloo.ca/~tmchan/pub.html} } @ARTICLE{Chan03, author = {T. M. Chan}, title = {On levels in arrangements of curves}, journal = DCG, year = 2003, volume = 29, pages = {375--393}, nubmer = 3, url = {http://link.springer-ny.com/link/service/journals/00454/contents/02/2840/index.html} } @ARTICLE{Chan91, author = {Edward P. F. Chan and H{\'e}ctor J. Hern{\'a}ndez}, title = {Independence-Reducible Database Schemes}, journal = jacm, year = 1991, volume = 38, pages = {854-886}, number = 4, month = oct, keywords = {Database Theory; Algorithms; Design; Theory; chase; constant-time maintainable schemes; functional dependencies; independent database scheme; query evaluation; representative instance; } } @ARTICLE{Chan96, author = {T. M. Chan}, title = {Output-Sensitive Results on Convex Hulls, Extreme Points, and Related Problems}, journal = DCG, year = 1996, volume = 16, pages = {369--387} } @ARTICLE{Chan98, author = {T. M. Chan}, title = {Approximate nearest neighbor queries revisited}, journal = DCG, year = 1998, volume = 20, pages = {359--373} } @INPROCEEDINGS{Chan99, author = {T. M. Chan}, title = {Dynamic Planar convex hull operations in near-logarithmic amortized time}, booktitle = FOCS, year = 1999, pages = {92--99}, nickname = {FOCS '99} } @UNPUBLISHED{Chan99b, author = {T. M. Chan}, title = {Remarks on $k$-level algorithms in the plane}, note = {manuscript. {\tt http://www}\hspace{0.001cm}{\tt.cs.uwaterloo.ca/}\hspace{0.001cm}{\tt{}{}{}{}{}{}{}\protect\raisebox{-0.1cm}{\symbol{'176}}}\hspace{0.001cm}{\tt{tmchan/pub.html}}}, year = 1999 } @INPROCEEDINGS{ChanNg07, author = {Chan, Yee Seng and Ng, Hwee Tou}, title = {Domain Adaptation with Active Learning for Word Sense Disambiguation}, booktitle = ACL, year = 2007, pages = {49--56}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1007} } @INPROCEEDINGS{ChanNgCh07, author = {Chan, Yee Seng and Ng, Hwee Tou and Chiang, David}, title = {Word Sense Disambiguation Improves Statistical Machine Translation}, booktitle = ACL, year = 2007, pages = {33--40}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1005} } @INPROCEEDINGS{ChanSt95, author = {Philip K. Chan and Salvatore J. Stolfo}, title = {A comparative evaluation of voting and meta-learning on partitioned data}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {90--98}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{ChanVaLa07, author = {A. Chan and N. Vasconcelos and G. Lanckriet}, title = {Direct convex relaxations of sparse {SVM}}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {145--152}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{Chandrasekaran89, author = {B. Chandrasekaran}, title = {Task-Structures, Knowledge Acquisition and Learning}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {339--345}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Chandru91, author = {V. Chandru and J. N. Hooker}, title = {Extended Horn Sets in Propositional Logic}, journal = jacm, year = 1991, volume = 38, pages = {205-221}, number = 1, month = jan, keywords = {Logic Programming; Algorithms; Theory; Horn clauses; propositional logic; } } @INPROCEEDINGS{ChangGa93, author = {Richard Chang and William I. Gasarch}, title = {On bounded queries and approximation}, booktitle = {Proc. of the 34rd Annual Symposium on Foundations of Computer Science}, year = 1993, pages = {547--556}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @ARTICLE{ChangLa87, author = {Fu Chang and Tze Leung Lai}, title = {Optimal Stopping and Dynamic Allocation}, journal = {Advances in Applied Probability}, year = 1987, volume = 19, pages = {829--853}, comment = {Bandit problem} } @INPROCEEDINGS{ChangTo07, author = {Chang, Pi-Chuan and Toutanova, Kristina}, title = {A Discriminative Syntactic Word Order Model for Machine Translation}, booktitle = ACL, year = 2007, pages = {9--16}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1002} } @ARTICLE{Chapman87, author = {Chapman, D.}, title = {Planning for Conjuctive Goals}, journal = {Artificial Intelligence}, year = 1987, volume = 32 } @article(ChapmanKo78, author = "R. 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Cohen}, title = {Text categorization and relational learning}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {124--132}, publisher = {Morgan Kaufmann} } @ARTICLE{Cohen95b, author = {Cohen, W.}, title = {{PAC}-learning recursive logic programs: Efficient algorithms}, journal = JAIR, year = 1995, volume = 2, pages = {501--539} } @INPROCEEDINGS{Cohen96, author = {William W. Cohen}, title = {The dual {DFA} learning problem: hardness results for programming by demonstration and learning first-order representations}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {29--40}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Cohen97, author = {Edith Cohen}, title = {Learning noisy perceptrons by a perceptron in polynomial time}, booktitle = {Proc. 38th Annu. IEEE Symposium on Foundations of Computer Science}, year = 1997, pages = {514--523}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @ARTICLE{Cohen98, author = {William W. Cohen}, title = {Hardness results for learning first-order representations and programming by demonstration}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {57--87}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Cohen99, author = {William W. Cohen}, title = {What can we learn from the web?}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {515--521}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{CohenDe97, author = {William W. Cohen and Prem Devanbu}, title = {A comparative study of inductive logic programming methods for software fault prediction}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {66--74}, publisher = {Morgan Kaufmann} } @INBOOK{CohenFe68, chapter = {XIV: {\em Learning and Inductive Inference}}, pages = {324--511}, title = {The Handbook of Artificial Intelligence}, publisher = {William Kaufman, Inc.}, year = 1968, editor = {Cohen, Paul R. and Edward A. Feigenbaum}, volume = 3, address = {Los Altos, California} } @INBOOK{CohenGrSc94, chapter = 11, pages = {171--181}, title = {Probabilistic hill-climbing}, publisher = {MIT Press}, year = 1994, author = {William W. Cohen and Russell Greiner and Dale Schuurmans}, volume = {II: Intersections Between Theory and Experiment}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{CohenHi92, author = {W. W. Cohen and H. Hirsh}, title = {Learnability of description logics}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {116--127}, publisher = {ACM Press, New York, NY} } @ARTICLE{CohenHi94, author = {Cohen, W. W. and H. Hirsh}, title = {The Learnability of Description Logics with Equality Constraints}, journal = {Machine Learning}, year = 1994, volume = 17, pages = {169-199} } @INPROCEEDINGS{CohenHi94a, author = {William W. Cohen and Haym Hirsh}, title = {Learning the {CLASSIC} Description Logic: Theoretical and Experimental Results}, booktitle = {Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth International Conference (KR94)}, year = 1994, publisher = {Morgan Kaufmann}, editors = {J. Doyle and E. Sandewall and P. Torasso} } @ARTICLE{CohenHi94b, author = {William W. Cohen and Haym Hirsh}, title = {Learnability of description logics with equality constraints}, journal = {Machine Learning}, year = 1994, volume = 17, pages = {169--200}, number = {2/3}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{CohenHi95, author = {William W. Cohen and Haym Hirsh}, title = {Corrigendum for: {L}earnability of description logics}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = 463, publisher = {ACM Press, New York, NY} } @ARTICLE{CohenKuBe95, author = {D. M. Cohen and C. Kulikowski and H. Berman}, title = {{DEXTER}: {A} System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of {DNA} Hydration}, journal = {Machine Learning}, year = 1995, volume = 21, pages = {81--101}, number = {1/2}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{CohenPa95, author = {Cohen, W. and Page, D.}, title = {Polynomial Learnability and Inductive Logic Programming: Methods and Results}, journal = {New Generation Computing}, year = 1995, pages = {369--409} } @INPROCEEDINGS{CohenSa04, author = {W. Cohen and S. Sarawagi}, title = {Exploiting Dictionaries in Named Entity Extraction: Combining Semi-Markov Extraction Processes and Data Integration Methods}, booktitle = {Proc. of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}, year = 2004 } @INPROCEEDINGS{CohenSi96, author = {W. W. Cohen and Y. Singer}, title = {Context-sensitive learning methods for text categorization}, booktitle = {Proc. of the 19th Annual Int. ACM Conference on Research and Development in Information Retrieval}, year = 1996, page = {307--315} } @INPROCEEDINGS{CohenSm07, author = {Cohen, Shay B. and Smith, Noah A.}, title = {Joint Morphological and Syntactic Disambiguation}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {208--217}, url = {http://www.aclweb.org/anthology/D/D07/D07-1022} } @ARTICLE{CohnAtLa94, author = {David Cohn and Les Atlas and Richard Ladner}, title = {Improving generalization with active learning}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {201--221}, number = 2, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{CohnLa07, author = {Cohn, Trevor and Lapata, Mirella}, title = {Large Margin Synchronous Generation and its Application to Sentence Compression}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {73--82}, url = {http://www.aclweb.org/anthology/D/D07/D07-1008} } @INPROCEEDINGS{CohnLa07a, author = {Cohn, Trevor and Lapata, Mirella}, title = {Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora}, booktitle = ACL, year = 2007, pages = {728--735}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1092} } @INPROCEEDINGS{Collins00, author = {M. 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Lee", title = "Similarity-based estimation of word cooccurrence probabilities", booktitle = ACL, pages = "272--278", year = 1994 ) @article(Dagan95, author = "Ido Dagan and Shaul Marcus and Shaul Markovitch", title = "Contextual word similarity and estimation from sparse data", journal = CSL, volume = 9, pages = "123-152", year = 1995 ) @unpublished{Dagan95b, author = "Ido Dagan and Ronen Feldman and Haym Hirsh", title = "Browsing and analyzing keyword-based text collections", note = "In preparation, to be submitted to the {5th Annual Symposium on Document Analysis and Information Retrieval (SDAIR-96)}" } @INPROCEEDINGS{DaganCh94, author = {Ido Dagan and Kenneth Church}, title = {{\it Termight}: Identifying and translating technical terminology}, booktitle = ANLP, year = 1994, pages = {34--40} } @INPROCEEDINGS{DaganChGa93, author = {Ido Dagan and Kenneth Church and William Gale}, title = {Robust bilingual word alignment for machine aided translation}, booktitle = {Proceedings of the Workshop on Very Large Corpora: Academic and Industrial Perspectives}, year = 1993, pages = {1--8}, place = {Columbus, Ohio} } @INPROCEEDINGS{DaganEn95, author = {Ido Dagan and Sean Engelson}, title = {Committee-Based Sampling for Training Probabilistic Classifiers}, booktitle = ICML, year = 1995, month = {July} } @INPROCEEDINGS{DaganEn95a, author = {Ido Dagan and Sean Engelson}, title = {Selective sampling in natural language learning.}, booktitle = {{IJCAI-95} Workshop On New Approaches to Learning for Natural Language Processing}, year = 1995, month = {August} } @inproceedings{DaganGl04, AUTHOR = {I. 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Itai", title = "Word Sense Disambiguation Using a Second Language Monolingual Corpus", journal = CL, volume = 20, number = 4, pages = "563--596", year = 1994 } @INPROCEEDINGS{DaganItSc91, author = {Ido Dagan and Alon Itai and Ulrike Schwall}, title = {Two languages are more informative than one}, booktitle = ACL, year = 1991, pages = {130--137} } @ARTICLE{DaganLePe99, author = {Ido Dagan and Lillian Lee and Fernando C. N. 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Lee}, title = {Similarity-based estimation of word cooccurrence probabilities}, booktitle = ACL, year = 1994, pages = {272--278} } @TECHREPORT{DagumLu91, author = {Dagum, Paul and Michael Luby}, title = {Approximating Probabilistic Inference in Baysian Belief Networks is NP-hard}, institution = {Knowledge Systems Laboratory, Stanford University}, year = 1991, number = {KSL-91-51}, month = Aug } @ARTICLE{DagumLu93, author = {Paul Dagum and Michael Luby}, title = {Approximating Probabilistic Inference in {B}ayesian Belief Networks is NP-Hard}, journal = {Artificial Intelligence}, year = 1993, volume = 60, pages = {141-153}, number = 1 } @ARTICLE{DagumLu97, author = {Paul Dagum and Michael Luby}, title = {An Optimal Approximation Algorithm for Bayesian Inference}, journal = {Artificial Intelligence}, year = 1997, volume = 93, pages = {1-27}, url = {citeseer.ist.psu.edu/dagum97optimal.html} } @INCOLLECTION{Dahlgren88, author = {K. 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G.}, title = {Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms}, journal = {Neural Computation}, year = 1998, volume = 10, pages = {1895--1924}, number = 7 } @INPROCEEDINGS{Dietterich98a, author = {Thomas G. Dietterich}, title = {The {MAXQ} method for hierarchical reinforcement learning}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {118--126}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INCOLLECTION{Dietterich99, author = {Thomas G. Dietterich}, title = {Machine Learning}, booktitle = {The {MIT} Encyclopedia of the Cognitive Sciences}, publisher = {{MIT} Press}, year = 1999, editor = {Rob Wilson and Frank Keil} } @ARTICLE{DietterichFl97, author = {Thomas G. Dietterich and Nicholas S. Flann}, title = {Explanation-based learning and reinforcement learning: a unified view}, journal = {Machine Learning}, year = 1997, volume = 28, pages = {169--210}, note = {Earlier version in 12th International Conf on ML, 1995}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{DietterichHiBa95, author = {Thomas G. Dietterich and Hermann Hild and Ghulum Bakiri}, title = {A comparison of {ID3} and backpropogation for {E}nglish text-to-speech mapping}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {51--80}, number = 1, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{DietterichKeMa96, author = {Tom Dietterich and Michael Kearns and Yishay Mansour}, title = {Applying the weak learning framework to understand and improve {C}4.5}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {96--104}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{DietterichMi79, author = {T. G. Dietterich and R. S. Michalski}, title = {Learning and generalization of characteristic descriptions: evaluation criteria and comparative review of selected methods}, booktitle = {Proc. 6th International Joint Conference on Artificial Intelligence}, year = 1979, pages = {223--231}, publisher = IJCAI } @ARTICLE{DietterichMi85, author = {T. G. Dietterich and R. S. Michalski}, title = {Discovering patterns in sequences of events}, journal = {Artificial Intelligence}, year = 1985, volume = 25, pages = {187--232} } @ARTICLE{Diettrich95a, author = {Dietterich, T. G. and Bakiri, G. }, title = {Solving Multiclass Learning Problems via Error-Correcting Output Codes}, journal = {Journal of Artificial Intelligence Research }, year = 1995, volume = 2, pages = {263-286} } @INPROCEEDINGS{DietzBiSc07, author = {L. Dietz and S. Bickel and T. Scheffer}, title = {Unsupervised prediction of citation influences}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {233--240}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{DietzenPf92, author = {Scott Dietzen and Frank Pfenning}, title = {Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {23--55}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Dill89, author = {Jens M. Dill}, title = {A Counter-Example for ``A Simpler Construction for Showing the Intrinsically Exponential Complexity of the Circularity Problem for Attribute Grammars''}, journal = jacm, year = 1989, volume = 36, pages = {92-96}, number = 1, month = jan, keywords = {Formal Languages; Algorithms; Languages; Performance; Theory; alternating Turing machines; attribute grammar; circularity problem; computational complexity; exponential time; } } @ARTICLE{Dillencourt92, author = {Michael B. Dillencourt and Hanan Samet and Markku Tamminen}, title = {A General Approach to Connected-Component Labelling for Arbitrary Image Representations}, journal = jacm, year = 1992, volume = 39, pages = {253-280}, number = 2, month = apr, keywords = {Data Structures and Algorithms; } } @UNPUBLISHED{DinurSa01, author = {I. Dinur and S. Safra}, title = {On the Importance of Being Biased}, note = {manuscript \href{http://www.math.ias.edu/~iritd/mypapers/vc.pdf}{{\tt http://www.math.ias.edu/\tildegen{}iritd/mypapers/vc.pdf}}}, year = 2001 } @ARTICLE{Dobkin91, author = {David Dobkin and Subhash Suri}, title = {Maintenance of Geometric Extrema}, journal = jacm, year = 1991, volume = 38, pages = {275-298}, number = 2, month = apr, keywords = {Computational Geometry; Algorithms; Theory; decomposability; dynamization; geometric algorithms; semi-online model; Voronoi diagram; } } @INPROCEEDINGS{DobkinGu95, author = {David P. Dobkin and Dimitrios Gunopulos}, title = {Concept learning with geometric hypotheses}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {329--336}, publisher = {ACM Press, New York, NY} } @ARTICLE{DobkinKi85, author = {D. P. Dobkin and D. G. Kirkpatrick}, title = {A linear algorithm for determining the separation of convex polyhedra}, journal = JALG, year = 1985, volume = 6, pages = {381--392}, keywords = {design of algorithms, construction, separation, convex, polyhedra, hierarchical representations} } @INPROCEEDINGS{DobkinKi90, author = {D. P. Dobkin and D. G. Kirkpatrick}, title = {Determining the separation of preprocessed polyhedra -- a unified approach}, booktitle = {Proc. 17th Internat. Colloq. Automata Lang. Program.}, year = 1990, volume = 443, series = {Lecture Notes in Computer Science}, pages = {400--413}, publisher = {Springer-Verlag} } @ARTICLE{DocClusDS, author = {Mark P. Sinka and David W. Corne}, title = {A large benchmark dataset for web document clustering}, editor = {Abraham, A. and Ruiz-del-Solar, J. and Koeppen, M.}, journal = {Soft Computing Systems: Design, Management and Applications, Frontiers in Artificial Intelligence and Applications}, volume = 87, year = 2002, pages = {881--890} } @PHDTHESIS{Dolan89, author = {Charles Patrick Dolan}, title = {Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning}, school = {UCLA Computer Science Department}, year = 1989, month = Jun } @ARTICLE{Dolev90, author = {Danny Dolev and Ruediger Reischuk and H. Raymond Strong}, title = {Early Stopping in Byzantine Agreement}, journal = jacm, year = 1990, volume = 37, pages = {720-741}, number = 4, month = oct, keywords = {Distributed Computing; Algorithms; Reliability; Theory; Verification; agreement problem; asynchronous system; Byzantine Generals problem; commit problem; consensus problem; distributed computing; early stopping; fault tolerance; reliability; } } @ARTICLE{Dolev93, author = {Danny Dolev and Cynthia Dwork and Orli Waarts and Moti Yung}, title = {Perfectly Secure Message Transmission}, journal = jacm, year = 1993, volume = 40, pages = {17-47}, number = 1, month = jan, keywords = {Distributed Communication; Algorithms; Reliability; Security; distributed computing; fault-tolerance; perfectly secure communication; } } @INPROCEEDINGS{Doll'arRaBe07, author = {P. Doll\'{a}r and V. Rabaud and S. Belongie}, title = {Non-isometric manifold learning: analysis and an algorithm}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {241--248}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{Domingo99, author = {Carlos Domingo}, title = {Faster Near-Optimal Reinforcement Learning: Adding Adaptiveness to the {E}$^3$ Algorithm}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {241--251}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DomingoGaWa98, author = {Carlos Domingo and Ricard Gavald{\`a} and Osamu Watanabe}, title = {Practical algorithms for on-line sampling}, booktitle = {Proc. 1st International Conference on Discovery Science}, year = 1998, volume = 1532, series = {Lecture Notes in Artificial Intelligence}, pages = {150--161}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DomingoLa95, author = {Carlos Domingo and Victor Lav{\'i}n}, title = {The query complexity of learning some subclasses of context-free grammars}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {404--414}, publisher = {Springer-Verlag} } @ARTICLE{DomingoMiPi99, author = {Carlos Domingo and Nina Mishra and Leonard Pitt}, title = {Efficient Read-Restricted Monotone {CNF}/{DNF} Dualization by Learning with Membership Queries}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {89--110}, number = 1, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{DomingoSh95, author = {Carlos Domingo and John Shawe-Taylor}, title = {The complexity of learning minor closed graph classes}, booktitle = {Proc. 6th Int. Workshop on Algorithmic Learning Theory}, year = 1995, pages = {249--260}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DomingoTsWa97, author = {Carlos Domingo and Tatsuie Tsukiji and Osamu Watanabe}, title = {Partial {O}ccam's razor and its applications}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {85--99}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DomingoWa00, author = {Carlos Domingo and Osamu Watanabe}, title = {Mada{B}oost: {A} Modification of {A}da{B}oost}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {180--189}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Domingos97, author = {Pedro Domingos}, title = {Knowledge acquisition from examples via multiple models}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {98--106}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Domingos98, author = {Pedro Domingos}, title = {A process-oriented heuristic for model selection}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {127--135}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{DomingosPa96, author = {Pedro Domingos and Michael Pazzani}, title = {Beyond independence: conditions for the optimality of the simple {B}ayesian classifier}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {105--112}, publisher = {Morgan Kaufmann} } @ARTICLE{DomingosPa97, author = {Domingos, P. and Pazzani. M}, title = {Beyond Independence: Conditions for the optimality of simple Bayesian Classifier }, journal = {Machine Learning}, year = 1997, volume = 29, pages = {103-130} } @ARTICLE{DomingosPa97a, author = {Pedro Domingos and Michael Pazzani}, title = {On the optimality of the simple {B}ayesian classifier under zero-one loss}, journal = {Machine Learning}, year = 1997, volume = 29, pages = {103--130}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{DonohoRe95, author = {Stephen K. Donoho and Larry A. 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Patil}, title = {Two Dogmas of Knowledge Representation: LanguageRestriction, Taxonomic Classification, and the Utility of Representation Services}, institution = {MIT Laboratory for Computer Science}, year = 1989, number = {MIT/LCS/TM-387b}, month = Sep } @INPROCEEDINGS{Drakopoulos95, author = {John A. Drakopoulos}, title = {Bounds on the classification error of the nearest neighbor rule}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {203--208}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{DrasJo96, author = {M. Dras and M. 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DuMouchel", title = "Computer Intrusion Detection Based on Bayes Factors for Comparing Command Transition Probabilities", year = 1999, number = "TR91", institution = "National Institute of Statistical Sciences (NISS)", } @INPROCEEDINGS{DuanZhXu07, author = {Duan, Xiangyu and Zhao, Jun and Xu, Bo}, title = {Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {940--946}, url = {http://www.aclweb.org/anthology/D/D07/D07-1098} } @INPROCEEDINGS{Dud'ikBlSc07, author = {M. Dud\'{i}k and D. Blei and R. Schapire}, title = {Hierarchical maximum entropy density estimation}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {249--256}, publisher = {Omnipress}, location = {Corvallis, OR} } @BOOK{DudaHa73, title = {Pattern Classification and Scene Analysis}, publisher = {Wiley}, year = 1973, author = {R. O. Duda and P. E. Hart} } @BOOK{DudaHaSt01, title = {Pattern Classification}, publisher = {Wiley-Interscience}, year = 2001, author = {R. O. Duda and P. E. Hart and D. G. Stork}, address = {New York}, edition = {2nd} } @ARTICLE{Dudley74, author = {R. M. Dudley}, title = {{Metric entropy of some classes of sets with differentiable boundaries}}, journal = {J. Approx. Theory}, year = 1974, volume = 10, pages = {227--236}, number = 3, notes = {correction: Volume 26, Number 2, June 1979, pp.192--193} } @ARTICLE{Dudley78, author = {Dudley, R. M.}, title = {Central Limit Theorems for Empirical Measures}, journal = {The Annals of Probability}, year = 1978, volume = 6, pages = {899--929}, number = 6, comment = {Generalization and proofs of Vapnik-Chervonenkis results.} } @INPROCEEDINGS{Duff95, author = {Michael O. Duff}, title = {{Q}-learning for bandit problems}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {209--217}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Duffy86, author = {Gavan Duffy}, title = {Categorical disambiguation}, booktitle = AAAI, year = 1986 } @INPROCEEDINGS{DuffyHe00, author = {Nigel Duffy and David Helmbold}, title = {Leveraging for Regression}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {208--219}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{DuffyHe99, author = {Nigel Duffy and David P. Helmbold}, title = {A Geometric Approach to Leveraging Weak Learners}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {18--33}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DunaganVe01, author = {J. Dunagan and S. Vempala}, title = {Optimal outlier removal in high-dimensional spaces}, booktitle = STOC, year = 2001, pages = {627--636}, url = {http://portal.acm.org/citation.cfm?id=380860&coll=portal&dl=ACM&CFID=6053296&CFTOKEN=23775034} } @INPROCEEDINGS{DuncanGoRa97, author = {C. A. Duncan and M. T. Goodrich and E. A. Ramos}, title = {Efficient Approximation and Optimization Algorithms for Computational Metrology}, booktitle = SODA, year = 1997, pages = {121--130} } @INPROCEEDINGS{Dupon94, author = {P. Dupon}, title = {Regular grammatical inferencefrom positive and negative samples by genetic search: The {GIG} method}, booktitle = {Proc. 2nd International Colloquium on Grammatical Inference - ICGI '94}, year = 1994, volume = 862, series = {Lecture Notes in Artificial Intelligence}, pages = {236--245}, publisher = {Springer-Verlag} } @INPROCEEDINGS{DupontCh98, author = {Pierre Dupont and Lin Chase}, title = {Using symbol clustering to improve probabilistic automaton inference}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {232--243}, publisher = {Springer-Verlag} } @UNPUBLISHED{DurandDrPu02, author = {F. Durand and G. Drettakis and C. Puech}, title = {The 3D Visibility Complex}, note = {submitted to ACM Transactions on Graphics}, year = 2002 } @INPROCEEDINGS{DuzeroskiMuRu92, author = {S. D\u{z}eroski and S. Muggleton and S. Russell}, title = {{PAC}-learnability of determinate logic programs}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {128--135}, publisher = {ACM Press, New York, NY} } @INBOOK{DvMuRu95, chapter = 13, pages = {243--255}, title = {{PAC}-learnability of constrained nonrecursive logic programs}, publisher = {MIT Press}, year = 1995, author = {Sa{\v s}o D{\v z}eroski and Stephen Muggleton and Stuart Russell}, volume = {III: Selecting Good Models}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{DvRaBl98, author = {Sa{\v s}o D{\v z}eroski and Luc De Raedt and Hendrik Blockeel}, title = {Relational reinforcement learning}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {136--143}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{Dwork92a, author = {Cynthia Dwork and Larry Stockmeyer}, title = {Finite State Verifiers {II}: Zero Knowledge}, journal = jacm, year = 1992, volume = 39, pages = {829-858}, number = 4, month = oct, keywords = {Complexity Theory; Theory; Arthur-Merlin games; complexity theory ; finite state automata; interactive proof systems; probabilistic automata; zero knowledge; } } @ARTICLE{Dwyer90, author = {R. A. Dwyer}, title = {Kinder, gentler average-case analysis for convex hulls and maximal vectors}, journal = {SIGACT News}, year = 1990, volume = 21, pages = {64--71}, number = 2, keywords = {probabilistic analysis, expected-case analysis, convex hull, $d$-dimensional} } @ARTICLE{Dyer91, author = {Martin Dyer and Alan Frieze and Ravi Kannan}, title = {A Random Polynomial Time Algorithm for Approximating the Volume of Convex Bodies}, journal = jacm, year = 1991, volume = 38, pages = {1-17}, number = 1, month = jan, keywords = {Computational Geometry; Algorithms; convex sets; random walks; sampling; volume; } } @INCOLLECTION{DyerMe97, author = {M. Dyer and N. Megiddo}, title = {Linear programming in low dimensions}, booktitle = {Handbook of Discrete and Computational Geometry}, publisher = {CRC Press LLC}, year = 1997, editor = {J. E. Goodman and J. O'Rourke}, chapter = 38, pages = {699--710}, address = {Boca Raton, FL} } @ARTICLE{DzeroskiDeDr01, author = {Saso Dzeroski and De Raedt, L. and Kurt Driessens}, title = {Relational Reinforcement Learning}, journal = {Machine Learning}, year = 2001, volume = 43, pages = {5--52}, number = {1/2}, month = {April}, abstract = {Relational reinforcement learning is presented, a learning technique that combines reinforcement learning with relational learning or inductive logic programming. Due to the use of a more expressive representation language to represent states, actions and Q-functions, relational reinforcement learning can be potentially applied to a new range of learning tasks. One such task that we investigate is planning in the blocks world, where it is assumed that the effects of the actions are unknown to the agent and the agent has to learn a policy. Within this simple domain we show that relational reinforcement learning solves some existing problems with reinforcement learning. In particular, relational reinforcement learning allows us to employ structural representations, to abstract from specific goals pursued and to exploit the results of previous learning phases when addressing new (more complex) situations.}, issn = {0885-6125}, pubtype = 11 } @INPROCEEDINGS{DzeroskiEr97, author = {Dzeroski, S. and Erjavec, T.}, title = {Induction of Slovene Nominal Paradigms}, booktitle = {International Workshop on Inductive Logic Programming}, year = 1997, pages = {141--148}, address = {Prague, Czech Republic}, publisher = {Springer}, note = {LNAI 1297} } @INPROCEEDINGS{EFNN89, author = {H. Ebara and N. Fukuyama and H. Nakano and Y. Nakanishi}, title = {Roundness algorithms using the {Voronoi} diagrams}, booktitle = {CCCG}, year = 1989, pages = 41 } @INPROCEEDINGS{EGHLMM00, author = {A. Efrat and L. J. Guibas and S. {Har-Peled} and and D. C. Lin and J. S.B. Mitchell and T. M. Murali}, title = {Sweeping Simple Polygons with a Chain of Guards}, booktitle = SODA, year = 2000, pages = {927--936} } @INPROCEEDINGS{EGHM01, author = {A. Efrat and L. J. Guibas and S. {Har-Peled} and T. M. Murali}, title = {Morphing between Polylines}, booktitle = SODA, year = 2001, pages = {680-689} } @ARTICLE{EGHSSSW89, author = {H. Edelsbrunner and L. J. Guibas and J. Hershberger and R. Seidel and M. Sharir and J. Snoeyink and E. Welzl}, title = {Implicitly representing arrangements of lines or segments}, journal = DCG, year = 1989, volume = 4, pages = {433--466} } @ARTICLE{EGPPSS92, author = {H. Edelsbrunner and L. J. Guibas and J. Pach and R. Pollack and R. Seidel and M. Sharir}, title = {{Arrangements of curves in the plane: Topology, combinatorics, and algorithms}}, journal = TCS, year = 1992, volume = 92, pages = {319--336} } @ARTICLE{EHGMM02, author = {A. Efrat and S. {Har-Peled} and L. J. Guibas and J. S.B. Mitchell and T.M. Murali}, title = {New Similarity Measures between Polylines with Applications to Morphing and Polygon Sweeping}, journal = DCG, year = 2002, volume = 28, pages = {535--569} } @INPROCEEDINGS{ELRS02, author = {G.~Even and Z.~Lotker and D.~Ron and S.~Smordinsky}, title = {Conflict-free colorings of simple geometric regions with applications to frequency assignment in cellular networks}, booktitle = FOCS, year = 2002, pages = {691--700}, url = {http://www.eng.tau.ac.il/~guy/Papers/ELRS.pdf} } @ARTICLE{ELRS03, author = {G.~Even and Z.~Lotker and D.~Ron and S.~Smordinsky}, title = {Conflict-free colorings of simple geometric regions with applications to frequency assignment in cellular networks}, journal = SICOMP, year = 2003, note = {To appear.} } @TECHREPORT{ERSSZ96, author = {T. Erlebach and P. Rossmanith and H. Stadtherr and A. Steger and T. Zeugmann}, title = {Efficient Learning of One-Variable Pattern Languages from Positive Examples}, institution = {Department of Informatics, Kyushu University}, year = 1996, number = {DOI-TR-128} } @INPROCEEDINGS{ERSSZ97, author = {Thomas Erlebach and Peter Rossmanith and Hans Stadtherr and Angelika Steger and Thomas Zeugmann}, title = {Learning one-variable pattern languages very efficiently on average, in parallel, and by asking queries}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {260--276}, publisher = {Springer-Verlag} } @ARTICLE{ESFF00, author = {Floriana Esposito and Giovanni Semeraro and Nicola Fanizzi and Stefano Ferilli}, title = {Multistrategy Theory Revision: Induction and Abduction in {INTHELEX}}, journal = {Machine Learning}, year = 2000, volume = 38, pages = {133--156}, number = {1/2}, publisher = {Kluwer Academic Publishers, Boston} } @BOOK{Edelman87, title = {Neural Darwinism -- The Theory of Neuronal Group Selection}, publisher = {Basic Books}, year = 1987, author = {Gerald M. Edelman} } @ARTICLE{Edelman93, author = {S. Edelman}, title = {On Learning to REcognize 3-D objects from Examples}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = 1993, volume = 15, pages = {833-837}, number = 8 } @ARTICLE{EdelmanRee82, author = {Edelman, G. M. and G. N Reeke, Jr.}, title = {Selective networks capable of representative transformations, limited generalizations and associative memory}, journal = {Proceedings of the National Academy of Scicence}, year = 1982, volume = 79, pages = {2091--2095} } @BOOK{Edelsbrunner87, title = {{Algorithms in Combinatorial Geometry}}, publisher = {Springer-Verlag}, year = 1987, author = {H. Edelsbrunner}, series = {EATCS Monographs on Theoretical Computer Science}, address = {Heidelberg}, url = {http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-13722-X&cookie=done} } @ARTICLE{EdelsbrunnerGu89, author = {H. Edelsbrunner and L. J. Guibas}, title = {Topologically sweeping an arrangement}, journal = {J. Comput. Syst. Sci.}, year = 1989, volume = 38, pages = {165--194}, note = {Corrigendum in 42 (1991), 249--251} } @ARTICLE{EdelsbrunnerGuSh89, author = {H. Edelsbrunner and L. J. Guibas and M. Sharir}, title = {The upper envelope of piecewise linear functions: algorithms and applications}, journal = DCG, year = 1989, volume = 4, pages = {311--336}, keywords = {upper/lower envelope, arrangement of simplices} } @ARTICLE{EdelsbrunnerGuSh90, author = {H. Edelsbrunner and L. J. Guibas and M. Sharir}, title = {{The complexity and construction of many faces in arrangements of lines and of segments}}, journal = DCG, year = 1990, volume = 5, pages = {161--196} } @ARTICLE{EdelsbrunnerGuSt86, author = {H. Edelsbrunner and L. J. Guibas and J. 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Efrat and S. {Har-Peled}}, title = {{Fly cheaply: on the minimum fuel consumption problem}}, journal = IJCGA, year = 1998, note = {to appear} } @ARTICLE{EfratSh00, author = {A. Efrat and M. Sharir}, title = {On the complexity of the union of fat convex objects in the plane}, journal = DCG, year = 2000, volume = 23, pages = {171--189} } @ARTICLE{Efron65, author = {B. Efron}, title = {The convex hull of a random set of points}, journal = {Biometrika}, year = 1965, volume = 52, pages = {331--343}, number = 3, annote = 168 } @ARTICLE{EfronTh87, author = {Bradley Efron and Ronald Thisted}, title = {Did Shakespeare write a newly discovered poem?}, journal = {Biometrika}, year = 1987, volume = 74, pages = {445-455} } @ARTICLE{EgeciogluKa89, author = {O. Egecioglu and B. Kalantari}, title = {Approximating the diameter of a set of points in the {Euclidean} space}, journal = IPL, year = 1989, volume = 32, pages = {205--211} } @INPROCEEDINGS{EhrenfeuchtHa88, author = {Ehrenfeucht, Andrzej and David Haussler}, title = {Learning Decision Trees from Random Examples}, booktitle = {Proceedings of the 1988 Workshop on Computational Learning Theory}, year = 1988, pages = {182--194}, address = {Cambridge, MA}, month = Aug } @ARTICLE{EhrenfeuchtHa89, author = {Ehrenfeucht, Andrzej and David Haussler}, title = {Learning Decision Trees from Random Examples}, journal = {Information and Computation}, year = 1989, volume = 82, pages = {231--246}, number = 3, month = Sep } @ARTICLE{EhrenfeuchtHaKeVa89, author = {Andrzej Ehrenfeucht and David Haussler and Michael Kearns and Leslie Valiant}, title = {A General Lower Bound on the Number of Examples Needed for Learning}, journal = {Information and Computation}, year = 1989, volume = 82, pages = {247--251}, number = 3, month = Sep } @INPROCEEDINGS{Eijk93, author = {Pim van der Eijk}, title = {Automating the acquisition of bilingual terminology}, booktitle = {EACL}, year = 1993, pages = {113--119} } @ARTICLE{EiseltLa89, author = {H. A. Eiselt and G. Laporte}, title = {Competitive spatial models}, journal = {European Journal of Operational Research}, year = 1989, volume = 39, pages = {231--242} } @ARTICLE{EiseltLaTh93, author = {H. A. Eiselt and G. Laporte and J.-F. Thisse}, title = {Competitive location models: A framework and bibliography}, journal = {Transportation Science}, year = 1993, volume = 27, pages = {44--54} } @MASTERSTHESIS{Eisenberg92, author = {B. B. Eisenberg}, title = {On the sample complexity of {PAC}-learning using random and chosen examples}, school = {MIT EECS Department}, year = 1992, note = {(LCS Technical report MIT/LCS/TR-535, March 1992.)} } @INPROCEEDINGS{EisenbergRi90, author = {Eisenberg, Bonnie and Ronald Rivest}, title = {On the Sample Complexity of {PAC}-Learning Using Random and Chosen Examples}, booktitle = {Proceedings of COLT '90}, year = 1990, pages = {154--162}, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @INPROCEEDINGS{EisensteinDa07, author = {Eisenstein, Jacob and Davis, Randall}, title = {Conditional Modality Fusion for Coreference Resolution}, booktitle = ACL, year = 2007, pages = {352--359}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1045} } @INPROCEEDINGS{Eisner96, author = {J. Eisner}, title = {Three New Probabilistic Models for Dependency Parsing: An Exploration}, booktitle = COLING, year = 1996, pages = {340--345}, address = {Copenhagen}, month = {August}, timestamp = {2007.01.26}, url = {http://cs.jhu.edu/~jason/papers/#coling96} } @ARTICLE{EjdysG99, author = {Piotr Ejdys and Grzegorz G{\'a}ra}, title = {The More We Learn the Less We Know? On Inductive Learning from Examples}, journal = {Fundamenta Informaticae}, year = 1999, volume = 39, pages = {359--374}, number = 4 } @ARTICLE{ElGindyAv81, author = {H. ElGindy and D. Avis}, title = {A linear algorithm for computing the visibility polygon from a point}, journal = JALG, year = 1981, volume = 2, pages = {186--197}, keywords = {polygons, visibility, visibility graphs} } @ARTICLE{ElioWa91, author = {Ren{\'{e}}e Elio and Larry Watanabe}, title = {An Incremental Deductive Strategy for Controlling Constructive Induction in Learning from Examples}, journal = {Machine Learning}, year = 1991, volume = 7, pages = {7--44}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{ElisseeffGuPa00, author = {A. Elisseeff and Y. Guermeur and H. {Paugam-Moisy}}, title = {Margin error and generalization capabilities of multiclass discriminant systems}, booktitle = {IEEE-INNS-ENNS Int. Joint Conf. on Neural Networks}, year = 2000 } @TECHREPORT{Elkan97, author = {C. Elkan}, title = {Boosting and Naive Bayesian Learning}, institution = {Department of Computer Science, University of California, San Diego}, year = 1997, number = {CS97-557} } @ARTICLE{Elman91, author = {Jeffrey L. Elman}, title = {Distributed Representations, Simple Recurrent Networks, and Grammatical Structure}, journal = {Machine Learning}, year = 1991, volume = 7, pages = {195--225}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Elomaa94, author = {Tapio Elomaa}, title = {In defense of {C}4.5: notes on learning one-level decision trees}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {62--69}, publisher = {Morgan Kaufmann} } @ARTICLE{ElomaaRo99, author = {Tapio Elomaa and Juho Rousu}, title = {General and Efficient Multisplitting of Numerical Attributes}, journal = {Machine Learning}, year = 1999, volume = 36, pages = {201--244}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{ElsnerCh07, author = {Micha Elsner and Eugene Charniak}, title = {A unified local and global model for discourse coherence}, booktitle = NAACL, year = 2007, } @INPROCEEDINGS{Elworthy94, author = {David Elworthy}, title = {Does {Baum-Welch} re-estimation improve taggers?}, booktitle = ANLP, year = 1994, pages = {53--58} } @ARTICLE{Emde77, author = {P. van {Emde Boas}}, title = {Preserving order in a forest in less than logarithmic time and linear space}, journal = IPL, year = 1977, volume = 6, pages = {80--82} } @INPROCEEDINGS{EmdeWe96, author = {Werner Emde and Dietrich Wettschereck}, title = {Relational instance-based learning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {122--130}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{EmeraldSuTh98, author = {J. D. Emerald and K. G. Subramanian and D. G. Thomas}, title = {Learning a subclass of context-free languages}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {223--231}, publisher = {Springer-Verlag} } @BOOK{Enderton72, title = {A mathematical intoroduction to logic}, publisher = {Academic Press}, year = 1972, editor = {Enderton, H. B.}, comment = {QA9.E54} } @INPROCEEDINGS{EngebretsenInO'02, author = {L. Engebretsen and P. Indyk and R. O'Donnell}, title = {Derandomized dimensionality reduction with applications}, booktitle = SODA, year = 2002, note = {to appear} } @ARTICLE{Engelfriet89, author = {Joost Engelfriet and Gilberto Fil{\'e}}, title = {Passes, Sweeps, and Visits in Attribute Grammars}, journal = jacm, year = 1989, volume = 36, pages = {841-869}, number = 4, month = oct, keywords = {Formal Languages; Algorithms; Languages; Theory; Verification; attribute evaluator; attribute grammar; computational complexity; } } @INPROCEEDINGS{EngelsonKo95, author = {Sean P. Engelson and Moshe Koppel}, title = {Distilling reliable information from unreliable theories}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {218--225}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{EngelsonKo96, author = {Sean P. Engelson and Moshe Koppel}, title = {Identifying the information contained in a flawed theory}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {131--138}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Eppstein03, author = {D. Eppstein}, title = {Dynamic generators of topologically embedded graphs}, booktitle = SODA, year = 2003, pages = {599--608} } @ARTICLE{Eppstein92, author = {David Eppstein and Zvi Galil and Raffaele Giancarlo and Giuseppe F. Italiano}, title = {Sparse Dynamic Programming {I}: Linear Cost Functions}, journal = jacm, year = 1992, volume = 39, pages = {519-545}, number = 3, month = jul, keywords = {String Processing; Algorithms; Theory; dynamic programming; recurrence; sequence alignment; sparsity; time complexity; } } @ARTICLE{Eppstein95, author = {D. Eppstein}, title = {Dynamic {Euclidean} minimum spanning trees and extrema of binary functions}, journal = DCG, year = 1995, volume = 13, pages = {111--122}, url = {http://www.ics.uci.edu/~eppstein/pubs/Epp-DCG-95.pdf} } @INPROCEEDINGS{Eppstein97, author = {D. Eppstein}, title = {Faster construction of planar two-centers}, booktitle = SODA, year = 1997 } @INPROCEEDINGS{Eppstein98, author = {D. Eppstein}, title = {Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs}, booktitle = SODA, year = 1998, pages = {619--628}, nickname = {SODA '98} } @ARTICLE{EppsteinEr94, author = {D. Eppstein and J. Erickson}, title = {Iterated nearest neighbors and finding minimal polytopes}, journal = DCG, year = 1994, volume = 11, pages = {321--350}, url = {http://compgeom.cs.uiuc.edu/~jeffe/pubs/small.html} } @INBOOK{Epstein94, chapter = 18, pages = {487--521}, title = {Hard questions about easy tasks: issues from learning to play games}, publisher = {MIT Press}, year = 1994, author = {Susan L. Epstein}, volume = {I: Constraints and Prospects}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @ARTICLE{Epstein94a, author = {Susan L. Epstein}, title = {Toward an ideal trainer}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {251--278}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{ErgunKuRu95, author = {Funda Erg{\"u}n and Ravi S. Kumar and Ronitt Rubinfeld}, title = {On learning bounded-width branching programs}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {361--368}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{ErgunKuRu97, author = {Funda Erg{\"u}n and S. Ravi Kumar and Ronitt Rubinfeld}, title = {Learning Distributions from Random Walks}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {243--249}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Erickson01, author = {J. Erickson}, title = {Nice point sets can have nasty {Delaunay} triangulations}, booktitle = SOCG, year = 2001, pages = {96--105}, url = {http://www.uiuc.edu/~jeffe/pubs/spread.html} } @INPROCEEDINGS{Erickson95, author = {J. Erickson}, title = {New Lower Bounds for {Hopcroft's} Problem}, booktitle = SOCG, year = 1995, pages = {127--137}, annote = 109, keywords = {partitioning algorithms} } @ARTICLE{Erickson99, author = {J. Erickson}, title = {New Lower Bounds for Convex Hull Problems in Odd Dimensions}, journal = SICOMP, year = 1999, volume = 28, pages = {1198--1214}, url = {http://compgeom.cs.uiuc.edu/~jeffe/pubs/convex.html} } @INPROCEEDINGS{EricksonHa02, author = {J. Erickson and S. {Har-Peled}}, title = {Optimally Cutting a Surface into a Disk}, booktitle = SOCG, year = 2002, pages = {244--253} } @ARTICLE{EricksonHa03, author = {J. Erickson and S. {Har-Peled}}, title = {Optimally Cutting a Surface into a Disk}, journal = DCG, year = 2003, note = {To appear} } @ARTICLE{EricksonSe95, author = {J. Erickson and R. Seidel}, title = {Better lower bounds on detecting affine and spherical degeneracies}, journal = DCG, year = 1995, volume = 13, pages = {41--57}, url = {http://compgeom.cs.uiuc.edu/~jeffe/pubs/degen.html} } @INPROCEEDINGS{Erk07, author = {Erk, Katrin}, title = {A Simple, Similarity-based Model for Selectional Preferences}, booktitle = ACL, year = 2007, pages = {216--223}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1028} } @INPROCEEDINGS{ErkanOzRa07, author = {Erkan, Gunes and Ozgur, Arzucan and Radev, Dragomir R.}, title = {Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {228--237}, url = {http://www.aclweb.org/anthology/D/D07/D07-1024} } @INPROCEEDINGS{EspositoRa07, author = {R. Esposito and D. Radicioni}, title = {{CarpeDiem}: an algorithm for the fast evaluation of {SSL} classifiers}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {257--264}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{Essen92, author = {Ute Essen and Volker Steinbiss}, title = {Cooccurrence Smoothing for Stochastic Language Modeling}, booktitle = {Proceedings of {ICASSP}}, year = 1992, volume = {I}, pages = {161--164}, publisher = {{IEEE}} } @ARTICLE{Estivill-CastroMaWo93, author = {Vladimir Estivill-Castro and Heikki Mannila and Derick Wood}, title = {Right invariant metrics and measures of presortedness}, journal = {Discrete Applied Mathematics}, year = 1993, volume = 42, pages = {1-16} } @INPROCEEDINGS{EsuliSe07, author = {Esuli, Andrea and Sebastiani, Fabrizio}, title = {PageRanking WordNet Synsets: An Application to Opinion Mining}, booktitle = ACL, year = 2007, pages = {424--431}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1054} } @BOOK{Etherington88, title = {Reasoning With Incomplete Information}, publisher = {Morgan Kaufmann}, year = 1988, author = {Etherington, D. 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Learning Theory}, year = 1993, pages = {269--276}, publisher = {ACM Press, New York, NY} } @ARTICLE{EverettRoKr96, author = {H. Everett and J.-M. Robert and M. van Kreveld}, title = {An optimal algorithm for the $({\leq} k)$-levels, with applications to separation and transversal problems}, journal = IJCGA, year = 1996, volume = 6, pages = {247--261} } @INPROCEEDINGS{EvgeniouPo04, author = {T. Evgeniou and M. Pontil}, title = {Regularized multi--task learning}, booktitle = KDD, year = 2004, pages = {109--117}, address = {New York, NY, USA}, publisher = {ACM}, doi = {http://doi.acm.org/10.1145/1014052.1014067}, isbn = {1-58113-888-1}, location = {Seattle, WA, USA} } @INPROCEEDINGS{EvgeniouPo99, author = {Theodoros Evgeniou and Massimiliano Pontil}, title = {On the ${V}_\gamma$ Dimension for Regression in Reproducing Kernel Hilbert Spaces}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {106--117}, publisher = {Springer-Verlag} } @INPROCEEDINGS{EzawaSiNo96, author = {Kazuo J. Ezawa and Moninder Singh and Steven W. 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Fisher", title = "Structural limits on verb mapping: The role of analogy in children's interpretation of sentences", year = 1996, journal = "Cognitive Psychology", volume = 31, pages = "41-81" ) @ARTICLE{FisherHo86, author = {Fisher, M.L. and D.S.Hochbaum}, title = {Probabilistic Analysis of the Planar $K$-Median Problem}, journal = {Mathematics of Operations Research}, year = 1980, volume = 5, pages = {27--34}, month = Feb } @INPROCEEDINGS{FisherRo07, author = {Fisher, Seeger and Roark, Brian}, title = {The utility of parse-derived features for automatic discourse segmentation}, booktitle = ACL, year = 2007, pages = {488--495}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1062} } @ARTICLE{FitzpatrickGr88, author = {J. Michael Fitzpatrick and John J. 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Cera}, title = {Learning {DNF} formulae under classes of probability distributions}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {85--92}, publisher = {ACM Press, New York, NY} } @TECHREPORT{Flanagan81, author = {P. A. Flanagan}, title = {A discrete model of semantic learning}, institution = {Brown University Computer Science Dept., CS-79}, year = 1981 } @ARTICLE{FlannDi89, author = {Nicholas S. Flann and Thomas G. Dietterich}, title = {A Study of Explanation-Based Methods for Inductive Learning}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {187--226}, number = 2, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{FlannaganFrHo86, author = {Flannagan, Michael J. and Lisbeth S. Fried and Keith J. Holyoak}, title = {Distributional Expectations and the Induction of Category Structure}, journal = {Journal of Experimental Psychology: Learning, Memory, and Cognition}, year = 1986, volume = 12, pages = {241--256}, number = 2, comment = {Experimental evidence in favor of idea that people expect exemplars of a category to follow the normal distribution} } @ARTICLE{Fleischer99, author = {R. Fleischer}, title = {Decision Trees: {O}ld and New Results}, journal = {Inform. Comput.}, year = 1999, volume = 152, pages = {44--61}, number = 1 } @BOOK{Flexner83, title = {{R}andom {H}ouse Unabridged Dictionary}, publisher = {Random House}, year = 1983, editor = {S. B. Flexner}, address = {New York}, note = {Second edition} } @ARTICLE{FlignerVe86, author = {M. A. Fligner and J. S. Verducci}, title = {Distance Based Ranking Models}, journal = {Journal of the Royal Statistical Society}, year = 1986, volume = 48, pages = {359-369} } @INPROCEEDINGS{FlorianYa99, author = {R. Florian and D. Yarowsky}, title = {Dynamic Non Language Modeling via Hierarchical Topic-Based Adaptation}, booktitle = {In Proceedings of ACL'99}, year = 1999, address = {College Park, MD, USA} } @PHDTHESIS{Floyd89, author = {Floyd, Sally}, title = {Space-bounded learning and the {V}apnik-{C}hervonenkis Dimension}, school = {U.C. Berkeley}, year = 1989, month = Dec, note = {ICSI Tech Report TR-89-061} } @INPROCEEDINGS{Floyd89a, author = {S. Floyd}, title = {Space-bounded learning and the {V}apnik-{C}hervonenkis dimension}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {349--364}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{FloydWa95, author = {Sally Floyd and Manfred Warmuth}, title = {Sample compression, learnability, and the {V}apnik-{C}hervonenkis dimension}, journal = {Machine Learning}, year = 1995, volume = 21, pages = {269--304}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Fogarty92, author = {Terence C. Fogarty}, title = {First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {387--388}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Fong95, author = {Philip W. L. Fong}, title = {A quantitative study of hypothesis selection}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {226--234}, publisher = {Morgan Kaufmann} } @ARTICLE{ForrestMi93, author = {Stephanie Forrest and Melanie Mitchell}, title = {What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {285--319}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Forster99, author = {J{\"u}rgen Forster}, title = {Learning Multiplicity Automata from Smallest Counterexamples}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {79--90}, publisher = {Springer-Verlag} } @INPROCEEDINGS{ForsterWa00, author = {J{\"u}rgen Forster and Manfred Warmuth}, title = {Relative Expexted Instantaneous Loss Bounds}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {90--99}, publisher = {Morgan Kaufmann, San Francisco} } @ARTICLE{Fortune87, author = {S. J. Fortune}, title = {A sweepline algorithm for {Voronoi} diagrams}, journal = {Algorithmica}, year = 1987, volume = 2, pages = {153--174}, keywords = {plane-sweep, geometric transformations, Voronoi diagrams, Delaunay triangulations} } @INCOLLECTION{Fortune97, author = {S. Fortune}, title = {Voronoi diagrams and {Delaunay} triangulations}, booktitle = {Handbook of Discrete and Computational Geometry}, publisher = {CRC Press LLC}, year = 1997, editor = {J. E. Goodman and J. O'Rourke}, chapter = 20, address = {Boca Raton, FL} } @BOOK{Foster82, title = {GEO-METRICS {II}: {The} application of geometric tolerancing techniques}, publisher = {Addison-Wesley}, year = 1982, author = {L. W. Foster} } @ARTICLE{Fr'echet06, author = {M. Fr{\'e}chet}, title = {Sur quelques points du calcul fonctionnel}, journal = {Rendiconti del Circolo Mathematico di Palermo}, year = 1906, volume = 22, pages = {1--74} } @INPROCEEDINGS{FrGeKoPf99, author = {N. Friedman and L. Getoor and D. Koller and A. Pfeffer}, title = {Learning Probabilistic Relational Models}, booktitle = IJCAI, year = 1999, pages = {1300-1309} } @book(Francis82, author = "W. Francis and H. Kucera", title = "Frequency Analysis of English Usage", publisher = "Houghton Mifflin Company", place = "Boston, MA", year = 1982 ) @BOOK{FrancisKu82, title = {Frequency Analysis of English Usage}, publisher = {Houghton Mifflin Company}, year = 1982, author = {W. Francis and H. Kucera}, place = {Boston, MA} } @INPROCEEDINGS{FrankWi98, author = {Eibe Frank and Ian H. Witten}, title = {Generating accurate rule sets without global optimization}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {144--151}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{FrankWi98a, author = {Eibe Frank and Ian H. Witten}, title = {Using a permutation test for attribute selection in decision trees}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {152--160}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{FrankWi99, author = {Eibe Frank and Ian H. Witten}, title = {Making better use of global discretization}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {115--123}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{FranklMa88, author = {P. Frankl and H. Maehara}, title = {The Johnson-Lindenstrauss Lemma and the Sphericity of Some Graphs}, journal = {Journal of Combinatorial Theory B}, year = 1988, volume = 44, pages = {355--362} } @BOOK{FranklinMiTh96a, title = {Recent Advances in Robot Learning}, publisher = {Kluwer Academic Publishers}, year = 1996, editor = {J. Franklin and T. Mitchell and S. Thrun}, number = 368, series = {Kluwer International Series in Engineering and Computer Science} } @INPROCEEDINGS{FraserMa07, author = {Fraser, Alexander and Marcu, Daniel}, title = {Getting the Structure Right for Word Alignment: {LEAF}}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {51--60}, url = {http://www.aclweb.org/anthology/D/D07/D07-1006} } @inproceedings{Frawley-et-al91, author = "W.J. Frawley and G. Piatetsky-Shapiro and C.J. Matheus", year = 1991, title = "Knowledge Discovery in Databases: An Overview", booktitle = {Knowledge Discovery in Databases}, editor = {G. Piatetsky-Shapiro and W. Frawley}, pages = {1--27}, address = {Cambridge, MA}, publisher = {MIT Press} } @incollection(Frawley91, author = "W. J. Frawley and G. Piatetsky-Shapiro and C. J. Matheus", title = "Knowledge discovery in databases: an overview", booktitle = "Knowledge Discovery in Databases", editor = "G. Piatetsky-Shapiro and W. J. Frawley", publisher = MIT, pages = "1--27", year = 1991 ) @INPROCEEDINGS{FrawleyPiMa91, author = {W.J. Frawley and G. Piatetsky-Shapiro and C.J. Matheus}, title = {Knowledge Discovery in Databases: An Overview}, booktitle = {Knowledge Discovery in Databases}, year = 1991, editor = {G. Piatetsky-Shapiro and W. Frawley}, pages = {1--27}, address = {Cambridge, MA}, publisher = {MIT Press} } @PHDTHESIS{Frazier94, author = {M. Frazier}, title = {Matters Horn and Other Features in the Computational Learning Theory Landscape: The Notion of Membership}, school = {Dept. of Computer Science, University of Illinois at Urbana-Champaign}, year = 1994, note = {Technical report UIUCDCS-R-94-1858} } @INPROCEEDINGS{FrazierPa93, author = {M. Frazier and C. D. Page}, title = {Learnability of Recursive, Non-determinate Theories: Some Basic Results and Techniques}, booktitle = {Third International Workshop on Inductive Logic Programming}, year = 1993 } @INPROCEEDINGS{FrazierPi93, author = {Frazier, M. and L. Pitt}, title = {Learning from Entailment: An Application to propositional {H}orn sentences}, booktitle = ML, year = 1993, pages = {120--127}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{FrazierPi94, author = {M. Frazier and L. Pitt}, title = {Some New Directions in Computational Learning Theory}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {19--32}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{FrazierPi94a, author = {M. Frazier and L. Pitt}, title = {{CLASSIC} Learning}, booktitle = {Computational Learning Theory}, year = 1994, pages = {23-34} } @ARTICLE{FrazierPi96, author = {Michael Frazier and Leonard Pitt}, title = {{CLASSIC} Learning}, journal = {Machine Learning}, year = 1996, volume = 25, pages = {151--193}, note = {Was in COLT 1994}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Frederickson85, author = {G. N. Frederickson}, title = {Data Structures for On-Line Updating of Minimum Spanning Trees, with Applications}, journal = SICOMP, year = 1985, volume = 14, pages = {781--798}, number = 4 } @ARTICLE{Frederickson87, author = {G. N. Frederickson}, title = {Fast algorithms for shortest paths in planar graphs, with applications}, journal = SICOMP, year = 1987, volume = 16, pages = {1004--1022}, number = 6, keywords = {shortest paths, graphs} } @ARTICLE{Frederickson91, author = {Greg N. Frederickson}, title = {Planar Graph Decomposition and All Pairs Shortest Paths}, journal = jacm, year = 1991, volume = 38, pages = {162-204}, number = 1, month = jan, keywords = {Graph Theory; Algorithms; Theory; all pairs shortest paths; approximation algorithm; compact routing table; graph embedding; NP-completeness; outerplanar graph; planar graph; succinct encoding; } } @INCOLLECTION{Fredkin64, author = {E. Fredkin}, title = {Techniques using {LISP} for automatically discovering interesting relations in data}, booktitle = {The Programming Language LISP}, publisher = {MIT Press}, year = 1964, pages = {108--124} } @ARTICLE{FredmanKoSz84, author = {M. L. Fredman and J. Komlos and E. Szemeredi}, title = {Storing a sparse table with $O(1)$ worst case access time}, journal = JACM, year = 1984, volume = 31, pages = {538--544}, number = 3, month = jul } @ARTICLE{Freeman92, author = {J. A. Freeman}, title = {Neural Networks in Mathematica}, journal = {AI Expert: the Magazine of Aritificial Intelligence in Practice}, year = 1992, volume = 7, pages = {26--35}, number = 11, month = nov } @ARTICLE{Freitag00, author = {D. Freitag}, title = {Machine Learning for Information Extraction in Informal Domains}, journal = MLJ, year = 2000, volume = 39, pages = {169--202}, number = {2/3}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Freitag98, author = {Dayne Freitag}, title = {Multistrategy learning for information extraction}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {161--169}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{FreitagKh07, author = {Freitag, Dayne and Khadivi, Shahram}, title = {A Sequence Alignment Model Based on the Averaged Perceptron}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {238--247}, url = {http://www.aclweb.org/anthology/D/D07/D07-1025} } @INCOLLECTION{Freivalds74, author = {R. Freivalds}, title = {On the Complexity and Optimality of Computation in the Limit}, booktitle = {Theory of Algorithms and Programs}, publisher = {Latvian State University, Riga}, year = 1974, volume = 1, pages = {155--173}, note = {(in Russian)}, annote = {Journal also called {\it Latvii gosudarst. Univ. ucenye Zapiski}} } @INCOLLECTION{Freivalds74a, author = {R. Freivalds}, title = {Uniform and Non Uniform Predictability}, booktitle = {Theory of Algorithms and Programs}, publisher = {Latvian State University, Riga}, year = 1974, volume = 1, pages = {89--100} } @ARTICLE{Freivalds74b, author = {R. V. Freivalds}, title = {On the limit synthesis of numbers of general recursive functions in various computable numerations}, journal = {Soviet Math. Doklady}, year = 1974, volume = 15, pages = {1681--1683} } @INPROCEEDINGS{Freivalds75, author = {R. V. Freivalds}, title = {Functions computable in the Limit by Probabilistic Machines}, booktitle = {Proc. 3rd Symposium on Mathematical Foundations of Computer Science, June 17-22, 1974}, year = 1975, volume = 28, series = {Lecture Notes in Computer Science}, pages = {77--87}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Freivalds75a, author = {R. V. Freivalds}, title = {Minimal {G}{\"o}del numbers and their identification in the limit}, booktitle = {Proc. 4th Symposium on Mathematical Foundations of Computer Science, September 1--5, 1975}, year = 1975, volume = 32, series = {Lecture Notes in Computer Science}, pages = {219--225}, publisher = {Springer-Verlag} } @ARTICLE{Freivalds79, author = {R. Freivalds}, title = {On the Principle Capabilities of Probabilistic Algorithms in Inductive Inference}, journal = {Semiotika Inform}, year = 1979, volume = 12, pages = {137--140} } @INPROCEEDINGS{Freivalds79a, author = {R. V. Freivalds}, title = {Finite identification of general recursive functions by probabilistic strategies}, booktitle = {Fundamentals of Computations Theory, FCT' 79, Proc. of the Conference on Algebraic, Arithmetic, and Categorial Methods in Computation Theory}, year = 1979, pages = {138--145}, address = {Berlin}, publisher = {Akademie-Verlag} } @ARTICLE{Freivalds85, author = {R. Freivalds}, title = {Recursiveness of the Enumerating Functions Increases the Inferrability of Recursively Enumerable Sets}, journal = {Bulletin of the European Association for Theoretical Computer Science}, year = 1985, volume = 27, pages = {35--40} } @INPROCEEDINGS{Freivalds90, author = {R. Freivalds}, title = {Inductive inference of minimal programs}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {3--20}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{FreivaldsBoWi98, author = {Rusins Freivalds and Ognian Botuscharov and Rolf Wiehagen}, title = {Identifying nearly minimal {G}{\"o}del numbers from additional information}, journal = {Annals of Mathematics and Artificial Intelligence}, year = 1998, volume = 23, pages = {199--209}, number = {1/2}, note = {Special issue for AII '94 and ALT '94} } @ARTICLE{FreivaldsHo94, author = {R. Freivalds and A. Hoffmann}, title = {An inductive inference appraoch to classification}, journal = {J. of Experimental and Theoret. Artif. Intell.}, year = 1994, volume = 6, pages = {63--72}, number = 1, note = {Special issue for AII '92} } @INPROCEEDINGS{FreivaldsJa95, author = {Rusins Freivalds and Sanjay Jain}, title = {Kolmogorov numberings and minimal identification}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {182--195}, publisher = {Springer-Verlag} } @INPROCEEDINGS{FreivaldsKaSm94, author = {R. Freivalds and M. Karpinski and C. H. Smith}, title = {Co-learning of total recursive functions}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {190--197}, publisher = {ACM Press, New York, NY} } @INCOLLECTION{FreivaldsKi77, author = {R. Freivalds and E. B. Kinber}, title = {Limit Identification of Minimal {G\"odel} Numbers}, booktitle = {Theory of Algorithms and Programs}, publisher = {Latvian State University, Riga}, year = 1977, volume = 3, pages = {3--34} } @ARTICLE{FreivaldsKiSm95, author = {R. Freivalds and E. Kinber and C. Smith}, title = {On the Impact of Forgetting on Learning Machines}, journal = {Journal of the ACM}, year = 1995, volume = 42, pages = {1146--1168}, number = 6, note = {Earlier version in 6th COLT, 1993} } @INCOLLECTION{FreivaldsKiSm95a, author = {R. Freivalds and E. B. Kinber and C. H. Smith}, title = {Probabilistic versus Deterministic Memory Limited Learning}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {155--161} } @ARTICLE{FreivaldsKiSm96, author = {R. Freivalds and E. Kinber and C. Smith}, title = {On the Intrinsic Complexity of Learning}, journal = {Inform. Comput.}, year = 1996, volume = 123, pages = {64--71}, number = 2, note = {Earlier version in EUROCOLT 1995} } @ARTICLE{FreivaldsKiWi82, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Inductive Inference and Computable One-one Numberings}, journal = {Zeitschr. f. math. Logik und Grundlagen d. Math. Bd.}, year = 1982, volume = 28, pages = {463--479} } @ARTICLE{FreivaldsKiWi84, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Connections between Identifying Functionals, Standardizing Operations, and Computable Numberings}, journal = {Zeitschr. f. math. Logik und Grundlagen d. Math. Bd.}, year = 1984, volume = 30, pages = {145--164} } @ARTICLE{FreivaldsKiWi88, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Probabilistic Versus Deterministic Inductive Inference in Nonstandard Numberings}, journal = {Zeitschr. f. math. Logik und Grundlagen d. Math. Bd.}, year = 1988, volume = 34, pages = {531--539} } @INPROCEEDINGS{FreivaldsKiWi89, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Inductive Inference From Good Examples}, booktitle = {Proc. of the Second International Workshop on Analogical and Inductive Inference}, year = 1989, pages = {1--17} } @ARTICLE{FreivaldsKiWi93, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {On the power of inductive inference from good examples}, journal = {Theoret. Comput. Sci.}, year = 1993, volume = 110, pages = {131--144}, number = 1 } @INCOLLECTION{FreivaldsKiWi95, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Error detecting in inductive inference}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {25--48} } @ARTICLE{FreivaldsKiWi95a, author = {R\={u}si\c{n}\v{s} Freivalds and Efim B. Kinber and Rolf Wiehagen}, title = {How Inductive Inference Strategies Discover Their Errors}, journal = {Inform. Comput.}, year = 1995, volume = 118, pages = {208--226}, number = 2 } @INCOLLECTION{FreivaldsKiWi95b, author = {R. Freivalds and E. B. Kinber and R. Wiehagen}, title = {Learning from good examples}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {49--62} } @INPROCEEDINGS{FreivaldsSm92, author = {Rusins Freivalds and Carl Smith}, title = {Memory Limited Inductive Inference Machines}, booktitle = {Proc. 3rd Scandinavian Workshop on Algorithm Theory, SWAT '92}, year = 1992, volume = 621, series = {Lecture Notes in Computer Science}, pages = {19--29}, publisher = {Springer-Verlag} } @INPROCEEDINGS{FreivaldsSm93, author = {R. Freivalds and C. H. Smith}, title = {On the duality between mechanistic learners and what it is they learn}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {137--149}, publisher = {Springer-Verlag} } @ARTICLE{FreivaldsSm93a, author = {R. Freivalds and C. H. Smith}, title = {On the role of procrastination for machine learning}, journal = {Inform. Comput.}, year = 1993, volume = 107, pages = {237--271}, number = 2, annote = {Was in COLT 1992 pages 363--376 and Univ. of MD. TR-91-27 in 1991} } @ARTICLE{FreivaldsSmVe89, author = {R. Freivalds and C. H. Smith and M. Velauthapillai}, title = {Trade-Off Among Parameters Affecting Inductive Inference}, journal = {Inform. Comput.}, year = 1989, volume = 82, pages = {323--349} } @ARTICLE{FreivaldsWi79, author = {R. V. Freivalds and R. Wiehagen}, title = {Inductive inference with additional information}, journal = {Elektronische Informationsverarbeitung und Kybernetik}, year = 1979, volume = 15, pages = {179--185} } @INPROCEEDINGS{FreivaldsZe96, author = {R. Freivalds and T. Zeugmann}, title = {Co--Learning of Recursive Languages from Positive Data}, booktitle = {Proc.~Perspectives of System Informatics,'' Second International Andrei Ershov Memorial Conference, Akademgorodok, Novosibirsk, Russia, June 1996}, year = 1996, pages = {122--133}, publisher = {Springer--Verlag}, note = {Lecture Notes in Computer Science 1181. Also TR RIFIS-TR-CS-110, Kyushu University 33, 1995.} } @INPROCEEDINGS{Freund90, author = {Yoav Freund}, title = {Boosting a Weak Learning Algorithm by Majority}, booktitle = {Proceedings of the Third Annual Workshop on ComputationalLearning Theory}, year = 1990, pages = {202--216}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Freund92, author = {Yoav Freund}, title = {An Improved Boosting Algorithm and Its Implications onLearning Complexity}, booktitle = {Proceedings of the Fifth Annual {ACM} Workshop on ComputationalLearning Theory}, year = 1992, pages = {391--398}, publisher = {{ACM} Press} } @INPROCEEDINGS{Freund94, author = {Yoav Freund}, title = {Sifting informative examples from a random source}, booktitle = {Working Notes of the Workshop on Relevance, AAAI Fall Symposium Series}, year = 1994, pages = {85--89} } @ARTICLE{Freund95, author = {Y. Freund}, title = {Boosting a Weak Learning Algorithm by Majority}, journal = {Inform. Comput.}, year = 1995, volume = 121, pages = {256--285}, number = 2, month = sep, note = {Also appeared in COLT90} } @INPROCEEDINGS{Freund96, author = {Yoav Freund}, title = {Predicting a binary sequence almost as well as the optimal biased coin}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {89--98}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Freund98, author = {Yoav Freund}, title = {Self bounding learning algorithms}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {247--258}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Freund99, author = {Yoav Freund}, title = {An adaptive version of the boost by majority algorithm}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {102--113}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{FreundHa92, author = {Y. Freund and D. Haussler}, title = {Unsupervised Learning of Distributions on Binary Vectors Using Two layer Networks}, booktitle = {Proc. Advances In Neural Information Processing Systems 5 (NIPS '92)}, year = 1992, pages = {912--919} } @INPROCEEDINGS{FreundMa97, author = {Yoav Freund and Yishay Mansour}, title = {Learning under persistent drift}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {109--118}, publisher = {Springer-Verlag} } @INPROCEEDINGS{FreundMa99, author = {Yoav Freund and Yishay Mansour}, title = {Estimating a mixture of two product distributions}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {53--62}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{FreundMa99a, author = {Yoav Freund and Llew Mason}, title = {The alternating decision tree learning algorithm,}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {124--133}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{FreundOp00, author = {Yoav Freund and Manfred Opper}, title = {Continuous Drifting Games}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {126--132}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{FreundRo95, author = {Yoav Freund and Dana Ron}, title = {Learning to model sequences generated by switching distributions}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {41--50}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{FreundSc96, author = {Yoav Freund and Robert E. 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Spencer}, title = {Efficient Implementation of Graph Algorithms Using Contraction}, journal = jacm, year = 1989, volume = 36, pages = {540-572}, number = 3, month = jul, keywords = {Data Structures and Algorithms; Algorithms; Theory; Verification; amortization; matching in graphs; minimum spanning trees; priority queue; worst-case bound; } } @ARTICLE{Gabow91, author = {Harold N. Gabow and Robert E. 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Flach}, title = {Kernels for Structured Data}, booktitle = {Proceedings of the 12th International Conference on Inductive Logic Programming}, year = 2002 } @ARTICLE{Gaines79, author = {B. R. Gaines}, title = {Maryanski's Grammatical Inferencer}, journal = {IEEE Trans. Computers}, year = 1979, volume = {C-27}, pages = {62--64}, number = 1, month = jan, comment = {Corrects some typographical errors in the Maryanski-Booth algorithm for inferring a probabilistic finite-state grammar from a given set of strings.} } @ARTICLE{GajentaanOv95, author = {A. Gajentaan and M. H. Overmars}, title = {On a class of {$O(n^2)$} problems in computational geometry}, journal = CGTA, year = 1995, volume = 5, pages = {165--185} } @BOOK{Galambos87, title = {The Asymptotic Theory of Extreme Order Statistics}, publisher = {R. E. Krieger}, year = 1987, author = {Janos Galambos}, address = {Malabar, FL}, note = {Second Edition} } @inproceedings(Gale91, author = "William Gale and Kenneth Church", title = "Identifying word correspondence in parallel text", booktitle = DARPA, year = 1991 ) @article{HATKSH00, author = {S. Haker and S. Angenent and A. Tannenbaum and R. Kikinis and G. Sapiro and M. Halle}, journal = {IEEE Trans. Visualizat. Comput. Graph.}, number = {2}, pages = {181--187}, title = {Conformal surface parameterization for texture mapping}, volume = {6}, year = {2000} } @inproceedings(Gale91b, author = "William Gale and Kenneth Church", title = "A program for aligning sentences in bilingual corpora", booktitle = ACL, year = 1991 ) @inproceedings(Gale91c, author = "William Gale and Kenneth Church", title = "Concordances for parallel texts", booktitle = "Proc. of the Seventh Annual Conference of the UW Center for the New OED and Text Research, Using Corpora", pages = "40--62", year = 1991 ) @techreport(Gale92, author = "W. Gale and K. Church and D. Yarowsky", title = "A method for disambiguating word senses in a large corpus", institution = "AT\&T Bell Laboratories", year = 1992, number = "Statistical Research Report, No. 104" ) @inproceedings(Gale92b, author = "W. Gale and K. Church and D. Yarowsky", title = "Work on statistical methods for word sense disambiguation", booktitle = "Working Notes, AAAI Fall Symposium Series, Probabilistic Approaches to Natural Language", pages = "54--60", year = 1992 ) @inproceedings(Gale92c, author = "W. Gale and K. Church and D. Yarowsky", title = "Using bilingual materials to develop word sense disambiguation methods", booktitle = TMI, pages = "101--112", year = 1992 ) @article(Gale93, author = "William Gale and Kenneth Church", title = "A program for aligning sentences in bilingual corpora", journal = CL, volume = 19, number = 1, pages = "75--102", year = 1993 ) @INPROCEEDINGS{GaleCh91, author = {William Gale and Kenneth Church}, title = {Identifying word correspondence in parallel text}, booktitle = DARPA, year = 1991 } @INPROCEEDINGS{GaleCh91a, author = {William Gale and Kenneth Church}, title = {A program for aligning sentences in bilingual corpora}, booktitle = ACL, year = 1991 } @INPROCEEDINGS{GaleCh91b, author = {William Gale and Kenneth Church}, title = {Concordances for parallel texts}, booktitle = {Proc. of the Seventh Annual Conference of the UW Center for the New OED and Text Research, Using Corpora}, year = 1991, pages = {40--62}, place = {Oxford, U.K.} } @ARTICLE{GaleCh93, author = {William Gale and Kenneth Church}, title = {A program for aligning sentences in bilingual corpora}, journal = CL, year = 1993, volume = 19, pages = {75--102}, number = 1 } @ARTICLE{GaleChJa92, AUTHOR = "W. A. Gale and K. W. Church and D. Jarowsky", TITLE = "A Method for Disambiguation Word Senses in Large Corpora", JOURNAL = "Computers and the Humanities", YEAR = 1992, volume = 26, number = "5-6", pages = "415-439", } @INPROCEEDINGS{GaleChYa92a, author = {W. Gale and K. Church and D. Yarowsky}, title = {Work on statistical methods for word sense disambiguation}, booktitle = {Working Notes, AAAI Fall Symposium Series, Probabilistic Approaches to Natural Language}, year = 1992, pages = {54--60} } @INPROCEEDINGS{GaleChYa92b, author = {W. Gale and K. Church and D. Yarowsky}, title = {Using bilingual materials to develop word sense disambiguation methods}, booktitle = TMI, year = 1992, pages = {101--112} } @ARTICLE{GaleChYa93, author = {W. A. Gale and K. W. Church and D. Yarowsky}, title = {A Method for Disambiguating Word Senses in a Large Corpus}, journal = {Computers and the Humanities}, year = 1993, volume = 26, pages = {415--439} } @article(GaleChYa93a, author = "W. Gale and K. 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Jordan}, title = {Factorial hidden {M}arkov models}, journal = {Machine Learning}, year = 1997, volume = 29, pages = {245--273}, publisher = {Kluwer Academic Publishers, Boston} } @INBOOK{GhahramaniJo97a, chapter = 5, pages = {67--85}, title = {Mixture models for learning from incomplete data}, publisher = {MIT Press}, year = 1997, author = {Zoubin Ghahramani and Michael I. Jordan}, volume = {IV: Making Learning Systems Practical}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{GhavamzadehEn07, author = {M. Ghavamzadeh and Y. Engel}, title = {Bayesian actor-critic algorithms}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {297--304}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{GhoseIpSu07, author = {Ghose, Anindya and Ipeirotis, Panagiotis and Sundararajan, Arun}, title = {Opinion Mining using Econometrics: A Case Study on Reputation Systems}, booktitle = ACL, year = 2007, pages = {416--423}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1053} } @INPROCEEDINGS{Ghosh87, author = {S. K. Ghosh}, title = {Approximation algorithms for art gallery problems}, booktitle = {Proc. Canadian Inform. Process. Soc. Congress}, year = 1987 } @InProceedings{GiampiccoloBeDaDo07, author = {Giampiccolo, D. and Magnini, B. and Dagan, I. and Dolan, B.}, title = {The Third PASCAL Recognizing Textual Entailment Challenge}, booktitle = {Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing}, month = {June}, year = 2007, address = {Prague}, pages = {1--9}, url = {http://www.aclweb.org/anthology/W/W07/W07-1401} } @InProceedings{GiampiccoloMaIdDo07, author = {Giampiccolo, Danilo and Magnini, Bernardo and Dagan, Ido and Dolan, Bill}, title = {The Third PASCAL Recognizing Textual Entailment Challenge}, booktitle = {Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing}, month = {June}, year = 2007, address = {Prague}, publisher = {Association for Computational Linguistics}, pages = {1--9}, url = {http://www.aclweb.org/anthology/W/W07/W07-1401} } @inproceedings{GiampiccoloMagniniDaganDolan07, author = "D. Giampiccolo, B. Magnini, I. Dagan and B. Dolan", title = "The Third PASCAL Recognizing Textual Entailment Challenge", booktitle = "Workshops on Textual Entailment and Paraphrasing", year = 2007, pages = "1-9", } @ARTICLE{Gibson96, author = {Gavin J. Gibson}, title = {Exact classification with two-layer neural nets}, journal = {J. of Comput. Syst. Sci.}, year = 1996, volume = 52, pages = {349--356}, number = 2 } @INPROCEEDINGS{GibsonHeKarKatPa89, author = {Gibson, G. and L. Hellerstein and R.M. Karp and R.H. Katz and D.A. Patterson}, title = {Coding techniques for handling failures in large disk arrays}, booktitle = {Proceedings of the Third Annual Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS III)}, year = 1989, note = {(To appear)} } @INPROCEEDINGS{Gil94, author = {Yolanda Gil}, title = {Learning by experimentation: incremental refinement of incomplete planning domains}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {87--95}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{GilbertOn94, author = {E. G. Gilbert and C. J. Ong}, title = {New distances for the separation and penetration of objects}, booktitle = {Proc. Int. Conf. Robot. Auto.}, year = 1994, pages = {579--586} } @INPROCEEDINGS{GildeaHo03, author = {D. Gildea and J. Hockenmaier}, title = {Identifying Semantic Roles Using Combinatory Categorial Grammar}, booktitle = EMNLP, year = 2003, address = {Sapporo, Japan} } @ARTICLE{GildeaJu02, AUTHOR = "D. Gildea and D. Jurafsky", TITLE = "Automatic Labeling of Semantic Roles", JOURNAL = "Computational Linguistics", YEAR = 2002, volume = 28, number = 3, pages = "245-288", month = "September", } @INPROCEEDINGS{GildeaJu02a, author = {D. Gildea and D. Jurafsky}, title = {Automatic labeling of semantic roles}, booktitle = {Computational Linguistics 28(3)}, year = 2002, pages = {245--288}, url = {citeseer.ist.psu.edu/article/gildea00automatic.html} } @ARTICLE{GildeaJu02b, author = {D. Gildea and D. Jurafsky}, title = {Automatic Labeling of Semantic Roles}, journal = {Computational Linguistics}, year = 2002, volume = 28, pages = {245--288}, number = 3 } @INPROCEEDINGS{GildeaPa02, author = {D. Gildea and M. Palmer}, title = {The Necessity of Parsing for Predicate Argument Recognition}, booktitle = ACL, year = 2002, pages = {239--246} } @INPROCEEDINGS{GildeaTe07, author = {Gildea, Daniel and Temperley, David}, title = {Optimizing Grammars for Minimum Dependency Length}, booktitle = ACL, year = 2007, pages = {184--191}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1024} } @UNPUBLISHED{GillmanSi91, author = {Gillman, D. and M. Sipser}, title = {Colored Markov Chains}, note = {Unpublished Manuscript}, year = 1992 } @INPROCEEDINGS{GillmanSi94, author = {D. Gillman and M. Sipser}, title = {Inference and minimization of hidden {M}arkov chains}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {147--158}, publisher = {ACM Press, New York, NY} } @MISC{GionisInMo97, author = {A. Gionis and P. Indyk and R. Motwani}, title = {Similarity Search in High Dimensions via Hashing}, year = 1997, text = {A. Gionis, P. Indyk, and R. Motwani. Similarity Search in High Dimensions via Hashing. Manuscript, 1997.} } @ARTICLE{GiordanaBe98, author = {Attilio Giordana and Giuseppe Lo Bello}, title = {Learning Classification Programs: The Genetic Algorithm Approach}, journal = {Fundamenta Informaticae}, year = 1998, volume = 35, pages = {163--177}, number = {1/4} } @INPROCEEDINGS{GiordanaPi99, author = {Attilio Giordana and Roberto Piola}, title = {On some misbehaviour of back-propagation with non-normalized {RBFN}s and a solution}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {162--170}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{GiordanaSaZi94, author = {Attilio Giordana and Lorenza Saitta and Floriano Zini}, title = {Learning disjunctive concepts by means of genetic algorithms}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {96--104}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Giordano94, author = {J. Y. Giordano}, title = {Inference of context-free grammars by enumeration: Structural containment as an ordering bias}, booktitle = {Proc. 2nd International Colloquium on Grammatical Inference - ICGI '94}, year = 1994, volume = 862, series = {Lecture Notes in Artificial Intelligence}, pages = {212--221}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Girju07, author = {Girju, Roxana}, title = {Improving the Interpretation of Noun Phrases with Cross-linguistic Information}, booktitle = ACL, year = 2007, pages = {568--575}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1072} } @BOOK{Gittins89, title = {Multi-armed Bandit Allocation Indices}, publisher = {Wiley}, year = 1989, author = {J. C. Gittins}, comment = {``the book'' on allocation indices for bandit problems} } @INPROCEEDINGS{GiulianoGl07, author = {Giuliano, Claudio and Gliozzo, Alfio}, title = {Instance Based Lexical Entailment for Ontology Population}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {248--256}, url = {http://www.aclweb.org/anthology/D/D07/D07-1026} } @ARTICLE{Glasserman91, author = {Paul Glasserman}, title = {Structural Conditions for Pertubation Analysis of Queuing Systems}, journal = jacm, year = 1991, volume = 38, pages = {1005-1025}, number = 4, month = oct, keywords = {Performance Analysis; Design; Performance; Theory; gradient estimation; networks of queues; perturbation analysis; sensitivity analysis; simulation; } } @article(Gleitman90, author = "L. R. Gleitman", title = "The structural sources of verb meanings", year = 1990, journal = "Language Acquisition", volume = 1, pages = "3-55" ) @inproceedings{GlickmanDaKo05, author = {O. Glickman and I. Dagan and M. Koppel}, title = {A Probabilistic Classification Approach for Lexical Textual Entailment}, year = 2005, booktitle = {Proceedings of AAAI 2005} } @INPROCEEDINGS{GlobigLa94, author = {C. Globig and S. Lange}, title = {On Case-Based Representability and Learnability of Languages}, booktitle = {Proc. 4th Internat. Workshop on Analogical and Inductive Inference}, year = 1994, volume = 872, series = {Lecture Notes in Artificial Intelligence}, pages = {106--120}, publisher = {Springer--Verlag} } @INCOLLECTION{GlobigWe95, author = {Christoph Globig and Stefan Wess}, title = {Learning in Case-Based Classification Algorithms}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {340--362} } @INPROCEEDINGS{GoelInVa01, author = {A. Goel and P. Indyk and K. R. Varadarajan}, title = {Reductions among high dimensional proximity problems}, booktitle = SODA, year = 2001, pages = {769-778}, url = {http://pollux.usc.edu/~agoel/papers/reductions.ps} } @ARTICLE{GoemansWi95, author = {M. X. Goemans and D. P. Williamson}, title = {Improved Approximation Algorithms for Maximum Cut and Satisfiability Problems Using Semidefinite Programming}, journal = JACM, year = 1995, volume = 42, pages = {1115--1145}, number = 6, month = nov, area = {Complexity of Algorithms} } @TECHREPORT{Goetsch86, author = {Goetsch, Gordon J.}, title = {CONSENSUS: A Statistical Learning Procedure in a Connectionist Network}, institution = {Carnegie-Mellon Computer Science Department}, year = 1986, number = {CMU-CS-86-131}, month = May, comment = {Layered network built out of communities of units, each with a supervisor.} } @INPROCEEDINGS{GoetzKuMi96, author = {Patrick Goetz and Shailesh Kumar and Risto Miikkulainen}, title = {On-line adaptation of a signal predistorter through dual reinforcement learning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {175--181}, publisher = {Morgan Kaufmann} } @ARTICLE{Goguen92, author = {Joseph A. Goguen and Rod M. Burstall}, title = {Institutions: Abstract Model Theory for Specification and Programming}, journal = jacm, year = 1992, volume = 39, pages = {95-146}, number = 1, month = jan, keywords = {Programming Languages and Methodology; Language; Theory; } } @inproceedings(Golan88, author = "Igal Golan and Shalom Lappin and Mori Rimon", title = "An active bilingual lexicon for machine translation", booktitle = Coling, pages = "205--211", year = 1988 ) @INPROCEEDINGS{GolanLaRi88, author = {Igal Golan and Shalom Lappin and Mori Rimon}, title = {An active bilingual lexicon for machine translation}, booktitle = Coling, year = 1988, pages = {205--211} } @ARTICLE{Gold65, author = {E. M. Gold}, title = {Limiting Recursion}, journal = {J. Symbolic Logic}, year = 1965, volume = 30, pages = {28--48} } @PHDTHESIS{Gold65a, author = {M. Gold}, title = {Models of Goal Seeking and Learning}, school = {University of California, Los Angeles}, year = 1965 } @ARTICLE{Gold67, author = {Gold, E. Mark}, title = {Language Identification in the Limit}, journal = InfCtrl, year = 1967, volume = 10, pages = {447--474}, comment = {Classic paper, introducing computer science theory into learning.} } @ARTICLE{Gold71, author = {E. M. Gold}, title = {Universal Goal Seekers}, journal = {Inform. Control}, year = 1971, volume = 18, pages = {395--403} } @ARTICLE{Gold72, author = {Gold, E. Mark}, title = {System Identification via State Characterization}, journal = {Automatica}, year = 1972, volume = 8, pages = {621--636} } @ARTICLE{Gold78, author = {Gold, E. Mark}, title = {Complexity of Automaton Identification from Given Data}, journal = {Information and Control}, year = 1978, volume = 37, pages = {302--320}, comment = {Proves that finding an automaton of $n$ or fewer states which agrees with a given list of input/output pairs.} } @INCOLLECTION{Goldammer95, author = {Ulf Goldammer}, title = {Inductive Synthesis of Rewrite Programs}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {435--466} } @BOOK{Goldberg89, title = {Genetic Algorithms in Search, Optimization, and Machine Learning}, publisher = {Addison-Wesley}, year = 1989, author = {D. E. Goldberg} } @ARTICLE{Goldberg90, author = {David E. Goldberg}, title = {Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {407--425}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Goldberg99, author = {Paul W. Goldberg}, title = {Learning fixed-dimension linear thresholds from fragmented data}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {88--99}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{GoldbergCh01, author = {K.~Goldberg and B.~Chen}, title = {Collaborative control of robot motion: Robustness to error}, booktitle = {Int. Conf. Intell. Robots Sys.}, year = 2001, url = {http://www.ieor.berkeley.edu/~goldberg/pubs/robust-iros01.pdf} } @INPROCEEDINGS{GoldbergEl07, author = {Goldberg, Yoav and Elhadad, Michael}, title = {SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking}, booktitle = ACL, year = 2007, pages = {224--231}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1029} } @INPROCEEDINGS{GoldbergGo94, author = {P. W. Goldberg and S. A. Goldman}, title = {Learning one-dimensional geometric patterns under one-sided random misclassification noise}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {246--255}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{GoldbergGoMa94, author = {P. W. Goldberg and S. A. Goldman and H. D. Mathais}, title = {Learning unions of boxes with membership and equivalence queries}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {198--207}, publisher = {ACM Press, New York, NY} } @ARTICLE{GoldbergGoSc96, author = {Paul W. Goldberg and Sally A. Goldman and Stephen D. Scott}, title = {{PAC} Learning of One-Dimensional Patterns}, journal = {Machine Learning}, year = 1996, volume = 25, pages = {51--70}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{GoldbergHaWi96, author = {Leslie Ann Goldberg and William E. Hart and David Bruce Wilson}, title = {Analysis of a simple learning algorithm: learning foraging thresholds for lizards}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {2--9}, publisher = {ACM Press, New York, NY} } @ARTICLE{GoldbergHo88, author = {D. E. Goldberg and J. H. Holland}, title = {Genetic Algorithms and Machine Learning}, journal = {Machine Learning}, year = 1988, volume = 3, pages = {95--99}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{GoldbergHo88a, author = {D. E. Goldberg and J. H. Holland}, title = {Special Issue on Genetic Algorithms}, journal = {Machine Learning}, year = 1988, volume = 3, number = {2/3}, month = Oct, publisher = {Kluwer Academic Publishers} } @ARTICLE{GoldbergJe95, author = {Paul W. Goldberg and Mark R. Jerrum}, title = {Bounding the {V}apnik-{C}hervonenkis dimension of concept classes parametrized by real numbers}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {131--148}, number = {2/3}, annote = {Earlier version in sixth COLT, 1993}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{GoldbergKw00, author = {Paul Goldberg and Stephen Kwek}, title = {The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {225--235}, publisher = {Morgan Kaufmann, San Francisco} } @ARTICLE{GoldbergTa89, author = {Andrew V. Goldberg and Robert E. Tarjan}, title = {Finding Minimum-Cost Circulations by Canceling Negative Cycles}, journal = jacm, year = 1989, volume = 36, pages = {873-886}, number = 4, month = oct, keywords = {Operations Research; Algorithms; Theory; cycle canceling; dynamic tree; minimum-cost flow; network optimization; transportation problem; transshipment problem; } } @INPROCEEDINGS{Golding95, author = {A. R. Golding}, title = {A {B}ayesian hybrid method for context-sensitive spelling correction}, booktitle = {Proceedings of the 3rd workshop on very large corpora, ACL-95}, year = 1995, comment = {good description of other techniques for context-sensitive spell ing} } @InProceedings{GoldingSc96, Author = "A. R. Golding and Y. Schabes", BookTitle = "Proc. 34th Annual Meeting of the Association for Computational Linguistics", Title = "Combining trigram-based and feature-based methods for context-sensitive spelling correction", Year = 1996, address = "Santa Cruz, CA" } @MASTERSTHESIS{Goldman87, author = {Sally A. Goldman}, title = {Efficient Methods for Calculating Maximum Entropy Distributions}, school = {MIT EECS Department}, year = 1987, month = May } @PHDTHESIS{Goldman90, author = {Goldman, Sally}, title = {Learning Binary Relations, Total Orders, and Read-Once Formulas}, school = {MIT Dept.\ of Electrical Engineering and Computer Science}, year = 1990, month = Sep } @INPROCEEDINGS{GoldmanKe91, author = {Goldman, Sally A. and Kearns, Michael J.}, title = {On the Complexity of teaching}, booktitle = {Proceedings of COLT '91}, year = 1991, pages = {303--314}, publisher = {Morgan Kaufmann} } @ARTICLE{GoldmanKe95, author = {Sally A. Goldman and Michael J. Kearns}, title = {On the complexity of teaching}, journal = {J. of Comput. Syst. Sci.}, year = 1995, volume = 50, pages = {20--31}, number = 1, note = {Earlier version in 4th COLT, 1991} } @INPROCEEDINGS{GoldmanKeSc90, author = {Goldman, Sally A. and Kearns, Michael J. and Schapire, Robert E.}, title = {Exact Identification of Circuits Using Fixed Points of Amplification Functions}, booktitle = {Proceedings of the 31st Symposium on Foundations of Computer Science}, year = 1990, pages = {193--202}, month = Oct, publisher = {IEEE}, tag = {TOC-display} } @INPROCEEDINGS{GoldmanKeSc90a, author = {S. A. Goldman and M. J. Kearns and R. E. Schapire}, title = {On the sample complexity of weak learning}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {217--231}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann}, note = {To appear, {\em Information and Computation}} } @ARTICLE{GoldmanKeSc93, author = {S. A. Goldman and M. J. Kearns and R. E. Schapire}, title = {Exact identification of circuits using fixed points of amplification functions}, journal = {SIAM J. Comput.}, year = 1993, volume = 22, pages = {705--726}, number = 4, month = aug, annote = {Earlier version in FOCS90} } @INPROCEEDINGS{GoldmanKw99, author = {Sally A. Goldman and Stephen S. Kwek}, title = {On Learning Unions of Pattern Languages and Tree Patterns}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {347--363}, publisher = {Springer-Verlag} } @INPROCEEDINGS{GoldmanKwSc97, author = {Sally A. Goldman and Stephen S. Kwek and Stephen D. Scott}, title = {Agnostic learning of geometric patterns}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {325--333}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{GoldmanKwSc97a, author = {Sally A. Goldman and Stephen S. Kwek and Stephen D. Scott}, title = {Learning From Examples With Unspecified Attribute Values}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {231--242}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{GoldmanMa92, author = {S. A. Goldman and H. D. Mathias}, title = {Learning k-term {DNF} formulas with an incomplete membership oracle}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {77--84}, publisher = {ACM Press, New York, NY} } @ARTICLE{GoldmanMa96, author = {Sally A. Goldman and H. David Mathias}, title = {Teaching a smarter learner}, journal = {J. of Comput. Syst. Sci.}, year = 1996, volume = 52, pages = {255--267}, number = 2, note = {Earlier version in 6th COLT, 1993} } @INCOLLECTION{GoldmanRi88, author = {Sally A. Goldman and Ronald L. Rivest}, title = {Making Maximum Entropy Computations Easier by Adding Extra Constraints (Extended Abstract)}, booktitle = {Maximum--Entropy and Bayesian Methods in Science and Engineering}, publisher = {Kluwer Academic Publishers}, year = 1988, editor = {G. J. Erickson and C. R. Smith}, volume = 2, pages = {323--340} } @INCOLLECTION{GoldmanRi88a, author = {S. A. Goldman and R. L. Rivest}, title = {A Non--Iterative Maximum Entropy Algorithm}, booktitle = {Uncertainty in Artificial Intelligence}, publisher = {Elsevier Science B.V. North-Holland}, year = 1988, volume = 2, pages = {133--148} } @INPROCEEDINGS{GoldmanRiSc89, author = {Goldman, Sally and Ronald L. Rivest and Robert E. Schapire}, title = {Learning Binary Relations and Total Orders}, booktitle = {Proceeding of the 30th IEEE Symposium on the Foundations of Computer Science}, year = 1989, pages = {46--51}, address = {Research Triangle Park, NC}, month = Oct, publisher = {IEEE Computer Society Press}, tag = {TOC-display} } @ARTICLE{GoldmanRiSc93, author = {S. A. Goldman and R. L. Rivest and R. E. Schapire}, title = {Learning binary relations and total orders}, journal = {SIAM J. Comput.}, year = 1993, volume = 22, pages = {1006--1034}, number = 5, month = oct, annote = {Earlier version in FOCS89} } @ARTICLE{GoldmanSc99, author = {Sally A. Goldman and Stephen D. Scott}, title = {A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {5--49}, number = 1, comment = {first in 13th ICML '96}, publisher = {Kluwer Academic Publishers, Boston} } @TECHREPORT{GoldmanSl91, author = {Goldman, Sally and Sloan, Robert}, title = {The Difficulty of Random Attribute Noise}, institution = {Washington University Department of Computer Science}, year = 1991, number = {WUCS-91-92}, month = Jun } @ARTICLE{GoldmanSl94, author = {S. A. Goldman and R. H. Sloan}, title = {The Power of Self-Directed Learning}, journal = {Machine Learning}, year = 1994, volume = 14, pages = {271--294}, number = 3, annote = {Was WUCS-92-49}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{GoldmanSl95, author = {S. A. Goldman and R. H. Sloan}, title = {Can {PAC} Learning Algorithms Tolerate Random Attribute Noise?}, journal = {algor}, year = 1995, volume = 14, pages = {70--84}, number = 1, month = jul } @INPROCEEDINGS{GoldmanWa93, author = {S.~Goldman and M.~Warmuth}, title = {Learning binary relations using weighted majority voting}, booktitle = COLT, year = 1993, pages = {453--462}, publisher = {Morgan Kaufmann} } @ARTICLE{GoldmanWa95, author = {Sally A. Goldman and Manfred K. Warmuth}, title = {Learning binary relations using weighted majority voting}, journal = {Machine Learning}, year = 1995, volume = 20, pages = {245--271}, number = 3, note = {Earlier version in 6th COLT, 1993}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Goldreich91, author = {Oded Goldreich and Silvio Micali and Avi Wigderson}, title = {Proofs that Yield Nothing But Their Validity or All Languages in {NP} Have Zero-Knowledge Proof Systems}, journal = jacm, year = 1991, volume = 38, pages = {691-729}, number = 3, month = jul, keywords = {Theory of Computation; Design; Security; Theory; Verification; cryptographic protocols; fault-tolerant distributed computing; graph isomorphism; interactive proofs; methodological design of protocols; NP; one-way functions; proof systems; zero-knowledge; } } @ARTICLE{GoldreichGoMi86, author = {Goldreich, Oded and Shafi Goldwasser and Silvio Micali}, title = {How to Construct Random Functions}, journal = {Journal of the ACM}, year = 1986, volume = 33, pages = {792--807}, number = 4, month = Oct } @INPROCEEDINGS{GoldreichRuSu95, author = {Oded Goldreich and Ronitt Rubinfeld and Madhu Sudan}, title = {Learning polynomials with queries: the highly noisy case}, booktitle = {Proc. of the 36th Annual Symposium on Foundations of Computer Science}, year = 1995, pages = {294--303}, publisher = {IEEE Computer Society Press, Los Alamitos, CA} } @INPROCEEDINGS{GoldwaterGr07, author = {Goldwater, Sharon and Griffiths, Tom}, title = {A fully Bayesian approach to unsupervised part-of-speech tagging}, booktitle = ACL, year = 2007, pages = {744--751}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1094} } @INPROCEEDINGS{Golea95, author = {Mostefa Golea}, title = {Average case analysis of a learning algorithm for {$\mu$-DNF} expressions}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {342--356}, publisher = {Springer-Verlag} } @INBOOK{Golea97, chapter = 14, pages = {227--243}, title = {On learning the neural network architecture: a case study}, publisher = {MIT Press}, year = 1997, author = {Mostefa Golea}, volume = {IV: Making Learning Systems Practical}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{GoleaMa93, author = {M. Golea and M. Marchand}, title = {Average case analysis of the clipped {H}ebb rule for nonoverlapping perceptron networks}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {151--157}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{GoleaMa94, author = {M. Golea and M. Marchand}, title = {On Learning Simple Deterministic and Probabilistic Neural Concepts}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {47--60}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @BOOK{GolesMa90, title = {Neural and automata networks}, publisher = {Kluwer academic publishers}, year = 1990, author = {Goles, E. and Martinez, S.}, comment = {QA267.5.c45g65, Cabot} } @BOOK{GolubLo96, title = {Matrix computations}, publisher = {Johns Hopkins University Press}, year = 1996, author = {G. H. Golub and C. F. van Loan}, address = {Baltimore, MD}, edition = {3nd} } @ARTICLE{Gonzalez85, author = {T. Gonzalez}, title = {Clustering to minimize the maximum intercluster distance}, journal = {Theoret. Comput. Sci.}, year = 1985, volume = 38, pages = {293--306} } @ARTICLE{GonzalezEdTh76, author = {R. C. Gonzalez and J. J. Edwards and M. G. Thomason}, title = {An algorithm for the inference of tree grammars}, journal = {Internat. J. Comput. Info. Sci.}, year = 1976, volume = 5, pages = {145--164}, number = 2 } @BOOK{GonzalezTh78, title = {Syntactic Pattern Recognition, An Introduction}, publisher = {Addison-Wesley, Reading, Mass.}, year = 1978, author = {R. C. Gonzalez and M. G. Thomason} } @ARTICLE{Good53, author = {I. J. Good}, title = {The population frequencies of species and the estimation of population parameters}, journal = {Biometrika}, year = 1953, volume = 40, pages = {237--264} } @ARTICLE{Good59, author = {Good, I. J.}, title = {Kinds of Probability}, journal = {Science}, year = 1959, volume = 129, pages = {443--447}, number = 3347, month = Feb } @ARTICLE{Good63, author = {Good, I.J.}, title = {Maximum entropy for hypothesis formulation, especially for multidimensional contingency tables}, journal = {Annals of Mathematical Statistics}, year = 1963, volume = 34, pages = {911-934}, comment = {Uses maximum entropy to judge order of interactions, and the order of a Markov chain.} } @ARTICLE{Good66, author = {Good, I.J.}, title = {A Derivation of the Probabilistic Explication of Information}, journal = {Journal of the Royal Statistical Society (Series B)}, year = 1966, volume = 28, pages = {578--581}, comment = {Argues from an axiomatic framework that I(H:E|G), the information concerning H provided by E given G, should be log( P(H.E|G) / (P(H|G)P(E|G)) ) or some monotonic variation of this.} } @INPROCEEDINGS{Good70, author = {Good, I. J.}, title = {The Probabilistic Explication of Information, Evidence, Surprise, Causality, Explanation, and Utility}, booktitle = {Foundations of Statistical Inference}, year = 1971, editor = {V. P. Godame and D. A. Sprott}, pages = {108--141}, publisher = {Holt, Reinhart, and Winston} } @BOOK{GoodmanO'97, title = {Handbook of Discrete and Computational Geometry}, publisher = {CRC Press LLC}, year = 1997, editor = {J. E. Goodman and J. O'Rourke}, comments = {52 chapters, xiv + 991 pages; publication: 6 July 1997}, location = {Boca Raton, FL} } @INPROCEEDINGS{Gordon95, author = {Geoffrey J. Gordon}, title = {Stable function approximation in dynamic programming}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {261--268}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Gordon98, author = {Diana F. Gordon}, title = {Well-behaved {B}orgs, {B}olos, and {B}erserkers}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {224--232}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Gordon99, author = {Geoffrey J. Gordon}, title = {Regret bounds for prediction problems}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {29--40}, publisher = {ACM Press, New York, NY} } @misc{GordonLoLuRi, author = {Lawrence A. Gordon and Martin P. Loeb and William Lucyshyn and Robert Richardson}, title = {{CSI/FBI} Computer Crime and Security Survey 2006}, howpublished = {Computer Security Institute Publications} } @INPROCEEDINGS{GordonSe96, author = {Geoffrey J. Gordon and Alberto Maria Segre}, title = {Nonparametric statistical methods for experimental evaluations of speedup learning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {200--206}, publisher = {Morgan Kaufmann} } @ARTICLE{GordonSh85, author = {J. Gordon and E. H. Shortliffe}, title = {A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space}, journal = {Artificial Intelligence}, year = 1985, volume = 26, pages = {323--357}, number = 3, month = jul, comment = {Dempster-Shafer theory explained and generalized.} } @INPROCEEDINGS{GordonSw07, author = {Gordon, Andrew and Swanson, Reid}, title = {Generalizing semantic role annotations across syntactically similar verbs}, booktitle = ACL, year = 2007, pages = {192--199}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1025} } @ARTICLE{GoriTe92, author = {Marco Gori and Alberto Tesi}, title = {On the Problem of Local Minima in Backpropagation}, journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence}, year = 1992, volume = 14, pages = {76--86}, number = 1, abstract = {Supervised Learning in Multi-Layered Neural Networks (MLNs) has been recently proposed through the well-known Backpropagation algorithm. This is a gradient method which can get stuck in local minima, as simple examples can show. In this paper, some conditions on the network architecture and the learning environment are proposed which ensure the convergence of the Backpropagation algorithm. It is proven in particular that the convergence holds if the classes are linearly-separable. In this case, the experience gained in several experiments shows that $MLNs$ exceed perceptrons in generalization to new examples.}, keywords = {Multi-Layered Networks, learning environment, Backpropagation, pattern recognition, linearly-separable classes} } @ARTICLE{GormanSe88, author = {R. P. Gorman and T. J. Sejnowski}, title = {Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets}, journal = {Neural Networks}, year = 1988, volume = 1, pages = {75--89} } @INPROCEEDINGS{GottschalkLiMa96, author = {S. Gottschalk AND M. C. Lin and D. Manocha}, title = {{OBB}-tree: A hierarchical structure for rapid interference detection}, booktitle = {SIGGRAPH}, year = 1996, pages = {171-180} } @INPROCEEDINGS{Grabowski86, author = {J. Grabowski}, title = {Inductive Inference of Functions From Noised Observations}, booktitle = {Proc. 1st International Workshop on Analogical and Inductive Inference}, year = 1986, volume = 265, series = {Lecture Notes in Computer Science}, pages = {55--60}, publisher = {Springer-Verlag} } @BOOK{GradshteynRy80, title = {Table of Integrals, Series, and Products}, publisher = {Academic Press}, year = 1980, author = {I. S. Gradshteyn and I. M. Ryzhik} } @INPROCEEDINGS{GraepelHeSh00, author = {T. Graepel and R. Herbrich and J.Shawe-Taylor}, title = {Generalisation Error Bounds for Sparse Linear Classifiers}, booktitle = COLT, year = 2000, pages = {298--303}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{GraepelHeWi01, author = {T. Graepel, R. Herbrich and R. C. Williamson}, title = {From Margin to Sparsity}, booktitle = NIPS, year = 2001, pages = {xxx--yyy}, publisher = {MIT Press} } @INPROCEEDINGS{GrafSaTs89, author = {H. P. Graf and S. Satyanarayana and Y. Tsividis}, title = {A Reconfigurable Analog ({VLSI} Neural Network Chip}, booktitle = {Proc. 1989 Neural Information Processing Conference}, year = 1989, pages = {758--768} } @ARTICLE{Graham90, author = {Marc H. Graham and Ke Wang}, title = {On the Equivalence of an Egd to a Set of Fd's}, journal = jacm, year = 1990, volume = 37, pages = {474-490}, number = 3, month = jul, keywords = {Database Theory; Languages; Theory; data dependencies; database theory; weak instances; } } @INPROCEEDINGS{GreenPeDoRe01, AUTHOR = "R. Green and L. Pearl and B. J. Dorr and P. Resnik", TITLE = "Lexical Resource Integration Across the Syntax-Semantics Interface", BOOKTITLE = "Proceedings of WordNet and Other Lexical Resources Workshop, NAACL", YEAR = 2001, address = "Pittsburg", month = "June", } @ARTICLE{Greenberg92, author = {Albert G. Greenberg and Neal Madras}, title = {How Fair is Fair Queuing}, journal = jacm, year = 1992, volume = 39, pages = {568-598}, number = 3, month = jul, keywords = {System Modeling and Analysis; Design; Management; Performance; Theory; Verification; } } @INPROCEEDINGS{GreenePaYa94, author = {D. Greene and M. Parnas and F. Yao}, title = {Multi-index hashing for information retrieval}, booktitle = FOCS, year = 1994, pages = {722--731} } @ARTICLE{GreeneSm93, author = {David Perry Greene and Stephen F. Smith}, title = {Competition-Based Induction of Decision Models from Examples}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {229--257}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{GreeneYa86, author = {D. H. Greene and F. F. Yao}, title = {Finite-resolution computational geometry}, booktitle = FOCS, year = 1986, pages = {143--152} } @BOOK{Greengard88, title = {The rapid evaluation of potential fields in particle systems}, publisher = {MIT Press}, year = 1988, author = {L. Greengard}, address = {Cambridge} } @ARTICLE{Grefenstette88, author = {John J. Grefenstette}, title = {Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms}, journal = {Machine Learning}, year = 1988, volume = 3, pages = {225--245}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Grefenstette93, author = {J. Grefenstette}, title = {Genetic algorithms and machine learning}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {3--4}, publisher = {ACM Press, New York, NY} } @ARTICLE{GrefenstetteRaSc90, author = {John J. Grefenstette and Connie Loggia Ramsey and Alan C. Schultz}, title = {Learning Sequential Decision Rules Using Simulation Models and Competition}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {355--381}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{GrefenstetteTe95, author = {G. Grefenstette and S. Teufel}, title = {Corpus-based method for automatic identification of support verbs for nominalizations}, booktitle = {In EACL-95}, year = 1995, pages = {27--31} } @INPROCEEDINGS{Greffenstette93, author = {G. Greffenstette}, title = {Evaluation techniques for automatic semantic extraction: comparing semantic and window based approaches}, booktitle = {ACL'93 workshop on the Acquisition of Lexical Knowledge from Text}, year = 1993 } @ARTICLE{Gregor94, author = {J. Gregor}, title = {Data-driven inductive inference of finite-state automata}, journal = {International Journal of Pattern Recognition and Artificial Intelligence}, year = 1994, volume = 8, pages = {305--322}, number = 1 } @INPROCEEDINGS{Greiner92, author = {Russell Greiner}, title = {Probabilistic Hill-Climbing: Theory and Applications}, booktitle = {Proc. of the Ninth Canadian Conference on Artificial Intelligence}, year = 1992, pages = {60--67}, address = {Vancouver}, month = jun, publisher = {Morgan Kaufmann}, note = {(Awarded ``AIJ Best Paper Prize'')} } @INPROCEEDINGS{Greiner95, author = {Russell Greiner}, title = {The challenge of revising an impure theory}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {269--277}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Greiner95a, author = {Russell Greiner}, title = {The Complexity of Theory Revision}, booktitle = IJCAI, year = 1995, addres = {Montreal} } @ARTICLE{Greiner96, author = {Russell Greiner}, title = {{PALO}: {A} probabilistic hill-climbing algorithm}, journal = {Artificial Intelligence}, year = 1996, volume = 83, number = {1--2}, month = jul, publisher = {Elsevier} } @INPROCEEDINGS{GreinerGrKo96, author = {Russell Greiner and Adam J. Grove and Alexander Kogan}, title = {Exploiting the omission of irrelevant data}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {216--224}, publisher = {Morgan Kaufmann} } @ARTICLE{GreinerIs96, author = {Russell Greiner and Ramana Isukapalli}, title = {Learning to Select Useful Landmarks}, journal = {IEEE Transactions on Systems, Man and Cybernetics, Part B}, year = 1996, volume = 26, number = 3, month = JUN, note = {Special issue on Learning Approaches to Autonomous Robots Control (ed., Marco Dorigo). Prior version in AAAI-94} } @INPROCEEDINGS{GreinerJu92, author = {Russell Greiner and Igor Juri\v{s}ica}, title = {A Statistical Approach to Solving the {EBL} Utility Problem}, booktitle = {Proc. AAAI-92}, year = 1992, address = {San Jose} } @INPROCEEDINGS{GreinerOr91, author = {Russell Greiner and Pekka Orponen}, title = {Probably Approximately Optimal Derivation Strategies}, booktitle = {Proc. of the Second International Joint Conference on Knowledge Representation}, year = 1991, editor = {J. A.~Allen and R.~Fikes and E.~Sandewall}, address = {Rochester, NJ}, month = apr, publisher = {Morgan Kaufmann} } @ARTICLE{GreinerOr96, author = {Russell Greiner and Pekka Orponen}, title = {Probably Approximately Optimal Satisficing Strategies}, journal = {Artificial Intelligence}, year = 1996, volume = 82, pages = {21--44}, number = {1--2}, month = apr } @INPROCEEDINGS{GreinerSc92, author = {Russell Greiner and Dale Schuurmans}, title = {Learning useful {H}orn approximations}, booktitle = {Proc. of the Third International Joint Conference on Knowledge Representation}, year = 1992, address = {Cambridge, MA}, month = oct } @INCOLLECTION{GreinerSc94, author = {Russell Greiner and Dale Schuurmans}, title = {Learning an Optimally Accurate Representation System}, booktitle = {Foundations of Knowledge Representation and Reasoning}, publisher = {Springer-Verlanger}, year = 1994, editor = {Gerhard Lakemeyer and Bernard Nebel}, volume = 810, pages = {145--59}, month = JUN, note = {Extended from article in {\em ECAI Workshop on Theoretical Foundations of Knowledge Representation and Reasoning}, Vienna, August 1992.} } @INPROCEEDINGS{GrenagerKlMa05, author = {T. Grenager and D. Klein and C. Manning}, title = {Unsupervised Learning of Field Segmentation Models for Information Extraction.}, booktitle = ACL, year = 2005 } @BOOK{Grenander81, title = {Abstract Inference}, publisher = {John Wiley and Sons, Inc.}, year = 1981, author = {U. Grenander} } @INCOLLECTION{Grieser95, author = {Gunter Grieser}, title = {{T\kern-.1em\lower.7ex\hbox{L}\kern-.31emP\kern-.1em\raise.4ex\hbox{S}} -- a Term Rewriting Laboratory (not only) for Experiments in Automatic Program Synthesis}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {467--481} } @INPROCEEDINGS{Grieser96, author = {Gunter Grieser}, title = {Reflecting inductive inference machines and its improvement by therapy}, booktitle = {Algorithmic Learning Theory: ALT '96}, year = 1996, volume = 1160, series = {Lecture Notes in Artificial Intelligence}, pages = {325--336}, publisher = {Springer-Verlag} } @INPROCEEDINGS{GrieserJaLa98, author = {Gunter Grieser and Klaus P. Jantke and Steffen Lange}, title = {Characterizing Sufficient Expertise for Learning System Validation}, booktitle = {Proc. 11th International Florida Artificial Intelligence Research Symposium Conference - FLAIRS '98}, year = 1998, pages = {452--456}, publisher = {AAAI Press, Menlo Park} } @INPROCEEDINGS{GrieserJaLa98a, author = {G. Grieser and K. P. Jantke and S. Lange}, title = {Towards the Validation of Inductive Learning Systems}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {409--423}, publisher = {Springer-Verlag} } @INPROCEEDINGS{GriraHo07, author = {N. Grira and M. Houle}, title = {Best of both: a hybridized centroid-medoid clustering heuristic}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {313--320}, publisher = {Omnipress}, location = {Corvallis, OR} } @BOOK{Grishman86, title = {Computational Linguistics -- An Introduction}, publisher = Cambridge, year = 1986, author = {Ralph Grishman} } @BOOK{Grishman86c, title = {Analyzing Language in Restricted Domains: Sublanguage Description and Processing}, publisher = {Lawrence Erlbaum Associates}, year = 1986, editor = {R. Grishman and R. Kittredge} } @INCOLLECTION{Grishman95, author = {R. Grishman}, title = {The {NYU} system for {MUC-6} or where's syntax?}, booktitle = {Proceedings of the Sixth Message Understanding Conference}, publisher = {Morgan Kaufmann Publishers}, year = 1995, editor = {Sundheim, B.} } @ARTICLE{GrishmanHiNh86, author = {R. Grishman and L. Hirschman and Ngo Thanh Nhan}, title = {Discovery procedures for sublanguage selectional patterns -- initial experiments}, journal = CL, year = 1986, volume = 12, pages = {205--214} } @ARTICLE{GritzmannKl92, author = {P. Gritzmann and V. Klee}, title = {Inner and outer $j$-radii of convex bodies in finite-dimensional normed spaces}, journal = DCG, year = 1992, volume = 7, pages = {255--280} } @ARTICLE{GritzmannKl93, author = {P. Gritzmann and V. Klee}, title = {Computational complexity of inner and outer $j$-radii of polytopes in finite-dimensional normed spaces}, journal = {Math. Program.}, year = 1993, volume = 59, pages = {163--213} } @ARTICLE{GritzmannKl94, author = {P. Gritzmann and V. Klee}, title = {On the complexity of some basic problems in computational convexity: I. Containment problems}, journal = {Discrete Math.}, year = 1994, volume = 136, pages = {129--174} } @INPROCEEDINGS{GrolimundGa96, author = {Stephan Grolimund and Jean-Gabriel Ganascia}, title = {Speeding-up nearest neighbour memories: the template tree case memory organisation}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {225--233}, publisher = {Morgan Kaufmann} } @BOOK{GrotschelLoSc88, title = {Geometric Algorithms and Combinatorial Optimization}, publisher = {Springer-Verlag}, year = 1988, author = {M. Gr{\"o}tschel and L. Lov{\'a}sz and A. Schrijver}, volume = 2, series = {Algorithms and Combinatorics}, address = {Berlin Heidelberg}, edition = {2nd}, note = {2nd edition 1994} } @INPROCEEDINGS{GroveHaKo92a, author = {Grove, Adam and Joseph Y. Halpern and Daphne Koller}, title = {Asymptotic conditional probabilities for first-order logic}, booktitle = {24th STOC}, year = 1992 } @INPROCEEDINGS{GroveHaKo92b, author = {Grove, Adam and Joseph Y. Halpern and Daphne Koller}, title = {Random Worlds and Maximum Entropy}, booktitle = {7th IEEE Symposium on Logic in Compute Science}, year = 1992 } @INPROCEEDINGS{GroveLiSc97, author = {Adam J. Grove and Nick Littlestone and Dale Schuurmans}, title = {General Convergence Results for Linear Discriminant Updates}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {171--183}, publisher = {ACM Press, New York, NY} } @ARTICLE{Gruber89, author = {Thomas R. Gruber}, title = {Automated Knowledge Acquisition for Strategic Knowledge}, journal = {Machine Learning}, year = 1989, volume = 4, pages = {293--336}, publisher = {Kluwer Academic Publishers, Boston} } @INCOLLECTION{Gruber93, author = {P. M. Gruber}, title = {Aspects of approximation of convex bodies}, booktitle = {Handbook of Convex Geometry}, publisher = {North-Holland}, year = 1993, editor = {Peter M. Gruber and J. M. Wills}, volume = {A}, chapter = {1.10}, pages = {319--345}, address = {Amsterdam, Netherlands}, annote = 584 } @INPROCEEDINGS{Grunwald99, author = {Peter Gr{\"u}nwald}, title = {Viewing all models as `probabilistic'}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {171--182}, publisher = {ACM Press, New York, NY} } @INCOLLECTION{Guibas98, author = {L. J. Guibas}, title = {Kinetic data structures --- a state of the art report}, booktitle = {WAFR}, publisher = {A. K. Peters}, year = 1998, editor = {P. K. Agarwal and L. E. Kavraki and M. Mason}, pages = {191--209}, address = {Wellesley, MA}, url = {http://graphics.stanford.edu/~guibas/g-kds.ps} } @ARTICLE{GuibasHe89, author = {L. J. Guibas and J. Hershberger}, title = {Optimal shortest path queries in a simple polygon}, journal = {J. Comput. Syst. Sci.}, year = 1989, volume = 39, pages = {126--152}, number = 2, month = oct } @ARTICLE{GuibasHeSn91, author = {L. J. Guibas and J. Hershberger and J. Snoeyink}, title = {Compact interval trees: a data structure for convex hulls}, journal = IJCGA, year = 1991, volume = 1, pages = {1--22}, number = 1, keywords = {data structures, convex hull, lower bounds, common tangents}, url = {http://portal.acm.org/citation.cfm?id=320195&coll=portal&dl=ACM&CFID=11111111&CFTOKEN=2222222&ret=1#} } @INPROCEEDINGS{GuibasRaSt83, author = {L. J. Guibas and L. Ramshaw and J. Stolfi.}, title = {{A kinetic framework for computational geometry}}, booktitle = FOCS, year = 1983, pages = {100--111} } @ARTICLE{GuibasShSi89, author = {L. J. Guibas and M. Sharir and S. Sifrony.}, title = {{On the general motion-planning problem with two degrees of freedom}}, journal = DCG, year = 1989, volume = 4, pages = {491--521} } @INPROCEEDINGS{GuijarroLaRa97, author = {David Guijarro and Victor Lavin and Vijay Raghavan}, title = {Learning monotone term decision lists}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {16--26}, publisher = {Springer-Verlag} } @ARTICLE{GuijarroLaRa99, author = {D. Guijarro and V. Lavin and V. Raghavan}, title = {Exact learning when irrelevant variables abound}, journal = {Inform. Process. Lett.}, year = 1999, volume = 70, pages = {233--239}, number = 5 } @article{GunettiPi05, author = {D. Gunetti and C. Picardi}, title = {Keystroke Analysis of Free Text.}, journal = {ACM Transactions on Information and System Security}, year = 2005 } @INPROCEEDINGS{GuoWaGe07, author = {Guo, Yuqing and Wang, Haifeng and van Genabith, Josef}, title = {Recovering Non-Local Dependencies for {C}hinese}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {257--266}, url = {http://www.aclweb.org/anthology/D/D07/D07-1027} } @article(Gupta92, author = "V. Gupta and M. Lennig and P. Mermelstein", title = "A language model for very large-vocabulary speech recognition", journal = CSL, volume = 6, pages = "331--344", year = 1992 ) @INPROCEEDINGS{GuptaDiSa07, author = {R. Gupta and A. Diwan and S. Sarawagi}, title = {Efficient inference with cardinality-based clique potentials}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {329--336}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{GuptaJaSm99, author = {P. Gupta and R. Janardan and M. Smid}, title = {Efficient algorithms for counting and reporting pairwise intersections between convex polygons}, journal = IPL, year = 1999, volume = 69, pages = {7--13} } @InProceedings{GuptaKo04, author = {R. Gupta and M. Kochenderfer}, title = {Common Sense Data Acquisition for Indoor Mobile Robots}, booktitle = AAAI, year = 2004 } @ARTICLE{GuptaLeMe92, author = {V. Gupta and M. Lennig and P. Mermelstein}, title = {A language model for very large-vocabulary speech recognition}, journal = CSL, year = 1992, volume = 6, pages = {331--344} } @ARTICLE{Gurevich90, author = {Yuri Gurevich and Saharon Shelah}, title = {Nondeterministic Linear-Time Tasks May Require Substantially Nonlinear Deterministic Time in the Case of Sublinear Work Space}, journal = jacm, year = 1990, volume = 37, pages = {674-687}, number = 3, month = jul, keywords = {Theory of Computation; Algorithms; Performance; clique problem; lower bounds; nondeterminism; nonlinear time; time-space trade-off; } } @INPROCEEDINGS{GurevychMZe07, author = {Gurevych, Iryna and M\"{u}ller, Christof and Zesch, Torsten}, title = {What to be? - Electronic Career Guidance Based on Semantic Relatedness}, booktitle = ACL, year = 2007, pages = {1032--1039}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1130} } @INPROCEEDINGS{GuruswamiSa99, author = {Venkatesan Guruswami and Amit Sahai}, title = {Multiclass learning, boosting, and error-correcting codes}, booktitle = {Proc. 12th Annu. 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Computer Science, Tel Aviv University}, year = 1995, type = {{M. S.} Thesis}, address = {Tel Aviv, Israel}, keywords = {master thesis} } @INPROCEEDINGS{Har-Peled97a, author = {S. {Har-Peled}}, title = {{Approximate shortest paths and Geodesic diameters on convex polytopes in three dimensions}}, booktitle = SOCG, year = 1997, pages = {359--365} } @INPROCEEDINGS{Har-Peled98, author = {S. {Har-Peled}}, title = {Constructing cuttings in theory and practice}, booktitle = SOCG, year = 1998, pages = {327--336} } @INPROCEEDINGS{Har-Peled98a, author = {S. {Har-Peled}}, title = {{Constructing approximate shortest path maps in three dimensions}}, booktitle = SOCG, year = 1998, pages = {383--391} } @UNPUBLISHED{Har-Peled98b, author = {S. {Har-Peled}}, title = {Cuttings --- demo program}, note = {{\tt http://www.math.tau.ac.il/\tildegen{}} {\tt {sariel/CG/cutting/cuttings.html}}}, year = 1998 } @TECHREPORT{Har-Peled98c, author = {S. {Har-Peled}}, title = {On Random and Discrete Convex Hulls in the Plane}, institution = {School Math. Sci., Tel-Aviv Univ.}, year = 1998, type = {Technical {Report}}, number = {330/98}, address = {Tel-Aviv, Israel}, keywords = {convex-hull, discrete-hull} } @INPROCEEDINGS{Har-Peled98d, author = {S. {Har-Peled}}, title = {An Output Sensitive Algorithm for Discrete Convex Hulls}, booktitle = SOCG, year = 1998, pages = {357--364} } @ARTICLE{Har-Peled98e, author = {S. {Har-Peled}}, title = {An Output Sensitive Algorithm for Discrete Convex Hulls}, journal = CGTA, year = 1998, volume = 10, pages = {125--138} } @UNPUBLISHED{Har-Peled98f, author = {S. {Har-Peled}}, title = {On the Expected Complexity of a random Convex Hull}, note = {manuscript}, year = 1998 } @ARTICLE{Har-Peled99, author = {S. {Har-Peled}}, title = {{Constructing approximate shortest path maps in three dimensions}}, journal = SICOMP, year = 1999, volume = 28, pages = {1182--1197}, number = 4 } @ARTICLE{Har-Peled99a, author = {S. {Har-Peled}}, title = {The Complexity of Many Cells in the Overlay of Many Arrangements}, journal = CGTA, year = 1999, note = {in press} } @PHDTHESIS{Har-Peled99c, author = {S. {Har-Peled}}, title = {Geometric Approximation Algorithms and Randomized Algorithms for Planar Arrangements}, school = {Dept. Computer Science, Tel Aviv University}, year = 1999, address = {Tel Aviv, Israel} } @ARTICLE{Har-Peled99d, author = {S. {Har-Peled}}, title = {Multicolor Combination Lemma}, journal = CGTA, year = 1999, volume = 12, pages = {155--176} } @INPROCEEDINGS{Har-Peled99e, author = {S. {Har-Peled}}, title = {Taking a Walk in a Planar Arrangement}, booktitle = FOCS, year = 1999, note = {100-110}, nickname = {FOCS '99} } @ARTICLE{Har-Peled99f, author = {S. {Har-Peled}}, title = {Approximate shortest paths and geodesic diameters on convex polytopes in three dimensions}, journal = DCG, year = 1999, volume = 21, pages = {216--231} } @INPROCEEDINGS{Har-PeledIn00, author = {S. {Har-Peled} and P. Indyk}, title = {When Crossings Count - Approximating the Minimum Spanning Tree}, booktitle = SOCG, year = 2000, pages = {166--175}, url = {http://www.cs.duke.edu/\tildegen{}sariel/papers/99/mst.html} } @UNPUBLISHED{Har-PeledMa03, author = {S. {Har-Peled} and S.~{Mazumdar}}, title = {Fast Algorithms for Computing the Smallest $k$-Enclosing Disc}, note = {submitted}, year = 2003 } @INPROCEEDINGS{Har-PeledSh01, author = {S. {Har-Peled} and M. Sharir}, title = {On-line Point Location in Planar Arrangements and Its Applications}, booktitle = SODA, year = 2001, pages = {57--66} } @ARTICLE{Har-PeledSh01a, author = {S. {Har-Peled} and M. Sharir}, title = {Online Point Location in Planar Arrangements and Its Applications}, journal = DCG, year = 2001, volume = 26, pages = {19--40}, url = {http://www.uiuc.edu/~sariel/research/papers/99/run.html} } @INPROCEEDINGS{Har-PeledShVa96, author = {S. {Har-Peled} and M. Sharir and K. R. Varadarajan}, title = {{Approximate shortest paths on a convex polytope in three dimensions}}, booktitle = SOCG, year = 1996, pages = {329--338} } @INPROCEEDINGS{Har-PeledSm03, author = {S. {Har-Peled} and S. Smorodinsky}, title = {On Conflict-Free Coloring of Points and Simple Regions in the Plane}, booktitle = SOCG, year = 2003, pages = {114--123}, url = {http://www.uiuc.edu/~sariel/research/papers/02/coloring} } @INPROCEEDINGS{Har-PeledVa01, author = {S. {Har-Peled} and K. R. Varadarajan}, title = {Approximate Shape Fitting via Linearization}, booktitle = FOCS, year = 2001, pages = {66--73}, url = {http://www.uiuc.edu/~sariel/research/papers/01/linearize.html} } @UNPUBLISHED{Har-PeledVa02, author = {S. {Har-Peled} and K.R. Varadarajan}, title = {High-Dimensional Shape Fitting in Linear Time}, note = {manuscript}, year = 2002, url = {http://www.uiuc.edu/~sariel/research/papers/02/pcluster/} } @INPROCEEDINGS{Har-PeledVa02b, author = {S. {Har-Peled} and K. R. Varadarajan}, title = {Projective Clustering in High Dimensions using Core-Sets}, booktitle = SOCG, year = 2002, pages = {312--318}, url = {http://www.uiuc.edu/~sariel/research/papers/01/kflat/} } @INPROCEEDINGS{Har-PeledWa02, author = {S. {Har-Peled} and Y. Wang}, title = {Shape Fitting with Outliers}, booktitle = SOCG, year = 2002, pages = {29--38}, url = {http://www.uiuc.edu/~sariel/research/papers/02/outliers/} } @inproceedings{Harabagiu01, author = "S. Harabagiu and D. Moldovan and M. Pasca and R. Mihalcea and M. Surdeanu and R. Bunescu and R. Girju and V. Rus and P. 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Pustejovsky", year = 1998, booktitle = "Corpus Processing for Lexical Acquisition", publisher = "MIT Press", } @ARTICLE{Heath92, author = {Lenwood S. Heath and Sorin Istrail}, title = {The Pagemember of Genus $g$ Graphs is $\uppercase{O}$($g$)}, journal = jacm, year = 1992, volume = 39, pages = {479-501}, number = 3, month = jul, keywords = {Graph Theory; Algorithms; Theory; book embeddings; graph genus; homotopy classes; planar-nonplanar decomposition; surface embeddings; } } @TECHREPORT{HeckbertGa97, author = {P. S. Heckbert and M. Garland}, title = {Survey of Polygonal Surface Simplification Algorithms}, institution = {CMU-CS}, year = 1997, note = {\href{http://www.uiuc.edu/ garland/papers.html} {http://www.uiuc.edu/\tildegen{}garland/papers.html}} } @INCOLLECTION{Heckerman86, author = {Heckerman, David}, title = {Probabilistic Interpretation for {MYCIN}'s Certainty Factors}, booktitle = {Uncertainty in Artificial Intelligence}, publisher = {Kluwer Science Publishers}, year = 1986, editor = {Kanal, L. N. and Lemmer, J.F.}, pages = {167--196} } @ARTICLE{HeckermanGeCh95, author = {David Heckerman and Dan Geiger and David M. Chickering}, title = {Learning {B}ayesian networks: the combination of knowledge and statistical data}, journal = {Machine Learning}, year = 1995, volume = 20, pages = {197--243}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{HegedHIn97, author = {Tibor Heged{\H u}s and Piotr Indyk}, title = {On learning disjunctions of zero-one threshold functions with queries}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {446--460}, publisher = {Springer-Verlag} } @INPROCEEDINGS{HegedHus93, author = {T. Heged\H{u}s}, title = {Can complexity theory benefit from learning theory? (Extended Abstract)}, booktitle = {Proc. of the European Conference on Machine Learning}, year = 1993, volume = {LNCS 667 (subseries Lecture Notes in AI)}, pages = {354--359}, address = {Berlin}, publisher = {Springer Verlag} } @INPROCEEDINGS{Hegedus94, author = {T. Heged{\"u}s}, title = {Geometrical concept learning and convex polytopes}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {228--236}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Hegedus94a, author = {T. Heged{\"u}s}, title = {On Training Simple Neural Networks and Small-weight Neurons}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {69--82}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{Hegedus95, author = {Tibor Heged{\"u}s}, title = {Generalized teaching dimensions and the query complexity of learning}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {108--117}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Heger94, author = {Matthias Heger}, title = {Consideration of risk in reinforcement learning}, booktitle = {Proc. 11th International Conference on Machine Learning}, year = 1994, pages = {105--111}, publisher = {Morgan Kaufmann} } @ARTICLE{Heger96, author = {Matthias Heger}, title = {The loss from imperfect value functions in expectation-based and minimax-based tasks}, journal = {Machine Learning}, year = 1996, volume = 22, pages = {197--225}, number = {1/2/3}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Hekanaho95, author = {Jukka Hekanaho}, title = {Symbiosis in multimodal concept learning}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {278--285}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Hekanaho96, author = {Jukka Hekanaho}, title = {Background knowledge in {GA}-based concept learning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {234--242}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{HeldKlMi95, author = {M. Held and J. T. Klosowski and J. S.B. Mitchell}, title = {Evaluation of Collision Detection Methods for Virtual Reality Fly-Throughs}, booktitle = {CCCG}, year = 1995, pages = {205--210} } @INCOLLECTION{Hellerstein87, author = {Hellerstein, Lisa}, title = {A Concurrent Prolog based region finding algorithm}, booktitle = {Concurrent Prolog: Collected Papers}, publisher = {MIT Press}, year = 1987, volume = {I}, pages = {291--317} } @PHDTHESIS{Hellerstein89, author = {L. Hellerstein}, title = {On {C}haracterizing and {L}earning {S}ome {C}lasses of {R}ead-once {F}unctions}, school = {University of California, Berkeley}, year = 1989 } @UNPUBLISHED{Hellerstein92, author = {Hellerstein, Lisa}, title = {Functions that are read-once on a subset of their inputs}, note = {(To appear in Discrete Applied Mathematics)}, year = 1992 } @ARTICLE{Hellerstein93, author = {Lisa Hellerstein}, title = {Book {R}eview: Machine Learning: {A} Theoretical Approach}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {145--149}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{HellersteinKa89, author = {L. Hellerstein and M. Karpinski}, title = {Learning read-once formulas using membership queries}, booktitle = {Proc. of the Second Annual Workshop on Computational Learning Theory}, year = 1989, pages = {146--161}, publisher = {Morgan Kaufmann}, annote = {Preliminary version appeared as ICSI TR-89-021. Expanded version with Angluin as a co-author apperaed in {\it J. ACM } in 1993} } @TECHREPORT{HellersteinKa91, author = {L. Hellerstein and M. Karpinski}, title = {Computational complexity of learning read-once formulas over different bases}, institution = {International Computer Science Institute, Berkeley, CA, TR-91-014}, year = 1991 } @ARTICLE{HellersteinKlWi90, author = {Hellerstein, Lisa and Philip Klein and Robert Wilber}, title = {On the time-space complexity of reachability queries forpreprocessed graphs}, journal = {Information Processing Letters}, year = 1990, volume = 35, pages = {261--267} } @ARTICLE{HellersteinSaShTa87, author = {Hellerstein, Lisa and Shmuel Safra and Ehud Shapiro and Stephen Taylor}, title = {Commutative One-Counter Languages Are Regular}, journal = {J. Parallel and Distributed Computing}, year = 1987, volume = 4, pages = {250--265} } @ARTICLE{HellersteinSh85, author = {Hellerstein, Lisa and Ehud Shapiro}, title = {Implementing parallel algorithms in Concurent Prolog: The MAXFLOW experience}, journal = {Journal of Logic Programming}, year = 1985, volume = 3, pages = {157--184} } @ARTICLE{Hellman77, author = {Martin E. Hellman}, title = {An Extension of the Shannon Theory Approach to Cryptography}, journal = {IEEE Transactions on Information Theory}, year = 1977, volume = {IT-23}, pages = {289--294}, number = 3, month = May } @ARTICLE{Helman89, author = {Paul Helman}, title = {A Common Schema for Dynamic Programming and Branch and Bound Algorithms}, journal = jacm, year = 1989, volume = 36, pages = {97-128}, number = 1, month = jan, keywords = {Operations Research; Algorithms; Theory; Verification; branch-andbound; combinatorial optimization; complexity analysis; dynamic programming; formal models of algorithms; parallel algorithms; search strategies;} } @INPROCEEDINGS{HelmboldKiWa96, author = {D. P. Helmbold and J. Kivinen and M. K. Warmuth}, title = {Worst-Case Loss Bounds for Sigmoided Linear Neurons}, booktitle = {Proc. 1996 Neural Information Processing Conference}, year = 1996, note = {To appear} } @TECHREPORT{HelmboldKiWa96a, author = {D. P. Helmbold and J. Kivinen and M. K. Warmuth}, title = {Worst-case Loss Bounds for Single Neurons}, institution = {Univ. of Calif. Computer Research Lab}, year = 1996, number = {UCSC-CRL-96-2}, address = {Santa Cruz, CA}, note = {In preparation.} } @INPROCEEDINGS{HelmboldKwPi97, author = {David Helmbold and Stephen Kwek and Leonard Pitt}, title = {Learning when to trust which experts}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {134--149}, publisher = {Springer-Verlag} } @INPROCEEDINGS{HelmboldLiLo92, author = {Helbold, David P. and Nicholas LIttlestone and Philip M. Long}, title = {Apple Tasting and Nearly One-Sided Learning}, booktitle = {FOCS}, year = 1992, pages = {493--502}, address = {St. Louis, Missouri}, month = Oct, publisher = {IEEE} } @INPROCEEDINGS{HelmboldLo91, author = {Helmbold, David P. and Philip M. Long}, title = {Tracking Drifting Concepts Using Random Examples}, booktitle = {Proceedings of the Fourth Annual Workshop on ComputationalLearning Theory}, year = 1991, pages = {13--23}, address = {Santa Cruz, California}, publisher = {Morgan Kaufmann} } @ARTICLE{HelmboldLo94, author = {David P. Helmbold and Philip M. Long}, title = {Tracking drifting concepts by minimizing disagreements}, journal = {Machine Learning}, year = 1994, volume = 14, pages = {27--45}, number = 1, annote = {Was in COLT 1991 and was UC Santa Cruz TR 91-26}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{HelmboldPa97, author = {David Helmbold and Sandra Panizza}, title = {Some Label Efficient Learning Results}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {218--230}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{HelmboldPaWa99, author = {David P. Helmbold and Sandra Panizza and Manfred K. Warmuth}, title = {Direct and Indirect Algorithms or On-line Learning of Disjunctions}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {138--152}, publisher = {Springer-Verlag} } @ARTICLE{HelmboldSc97, author = {D. P. Helmbold and R. E. Schapire}, title = {Predicting nearly as well as the best pruning of a decision tree}, journal = {Machine Learning}, year = 1997, pages = {51--68}, note = {Earlier version in COLT95} } @ARTICLE{HelmboldSiWa97, author = {David P. Helmbold and Robert E. Schapire andYoram Singer and Manfred K. Warmuth}, title = {A Comparison of New and Old Algorithms for a Mixture Estimation Problem}, journal = {Machine Learning}, year = 1997, volume = 27, pages = {97--119}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{HelmboldSlWa89, author = {Helmbold, David and Robert Sloan and Manfred K. Warmuth}, title = {Learning Nested Differences of Intersection-Closed Concept Classes}, booktitle = {Proceedings of the Second Annual Workshop on Computational Learning Theory}, year = 1989, pages = {41--56}, address = {Santa Cruz, CA}, month = Jul } @INPROCEEDINGS{HelmboldSlWa90, author = {Helmbold, David and Robert Sloan and Manfred K. Warmuth}, title = {Learning Integer Lattices}, booktitle = COLT, year = 1990, number = 3, publisher = {Morgan Kaufmann} } @ARTICLE{HelmboldSlWa90a, author = {D. Helmbold and R. Sloan and M. K. Warmuth}, title = {Learning Nested Differences of Intersection Closed Concept Classes}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {165--196}, number = 2, note = {Special Issue on Computational Learning Theory; first appeared in 2nd COLT conference (1989)}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{HelmboldSlWa92, author = {Helmbold, David and Robert Sloan and Manfred K. Warmuth}, title = {Learning Integer Lattices}, journal = {{SIAM} Journal on Computing}, year = 1992, volume = 21, pages = {240--266}, number = 2 } @INPROCEEDINGS{HelmboldWa92, author = {D. P. Helmbold and M. K. Warmuth}, title = {Some weak learning results}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {399--412}, publisher = {ACM Press, New York, NY} } @ARTICLE{HelmboldWa95, author = {D. Helmbold and M. K. Warmuth}, title = {On Weak Learning}, journal = {Journal of Computer and System Sciences}, year = 1995, volume = 50, pages = {551--573}, number = 3, month = jun } @ARTICLE{Hendel79, author = {R. J. Hendel}, title = {Mathematical learning theory: a formalized, axiomatic, abstract approach}, journal = {Inform. Control}, year = 1979, volume = 41, pages = {67--117} } @BOOK{Hennie68, title = {Finite-State Models for Logical Machines}, publisher = {John Wiley and Sons}, year = 1968, author = {Hennie, Frederick C.} } @INPROCEEDINGS{Henrion91, author = {Max Henrion}, title = {Search-based methods to bound diagnostic probabilities in very large belief nets}, booktitle = {Proceedings of the seventh conference (1991) on Uncertainty in Artificial Intelligence}, year = 1991, pages = {142--150}, address = {San Francisco, CA, USA}, publisher = {Morgan Kaufmann Publishers Inc.}, isbn = {1-55860-203-8}, location = {Los Angeles, California, United States} } @BOOK{Herbrich02, title = {Learning Kernel Classifiers}, publisher = { MIT Press}, year = 2002, author = {R. Herbrich} } @INPROCEEDINGS{HerbrichGr01, author = {R. Herbrich and T. Graepel}, title = {A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work}, booktitle = {Adv. Neur. Info. Proc. Sys.}, year = 2001, pages = {224--230} } @INPROCEEDINGS{HerbrichGrSh00, author = {Ralf Herbrich and Thore Graepel and John Shawe-Taylor}, title = {Sparsity vs. Large Margins for Linear Classifiers}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {304--308}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{HerbsterWa95, author = {M. Herbster and M. Warmuth}, title = {Tracking the best expert}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {286--294}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{HerbsterWa98, author = {Mark Herbster and Manfred K. Warmuth}, title = {Tracking the best regressor}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {24--31}, publisher = {ACM Press, New York, NY} } @INBOOK{HergertFiZi95, chapter = 17, pages = {323--343}, title = {Improving model selection by dynamic regularization methods}, publisher = {MIT Press}, year = 1995, author = {Ferdinand Hergert and William Finnoff and Hans-Georg Zimmermann}, volume = {III: Selecting Good Models}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @ARTICLE{Herlihy90, author = {Maurice Herlihy}, title = {Concurrency and Availability as Dual Properties of Replicated Atomic Data}, journal = jacm, year = 1990, volume = 37, pages = {257-278}, number = 2, month = apr, keywords = {Distributed Computing; Algorithms; Reliability; quorum consensus; replication; } } @ARTICLE{Herlihy92, author = {Maurice Herlihy and Nancy Lynch and Michael Merritt and William Weihl}, title = {On the Correctness of Orphan Management Algorithms}, journal = jacm, year = 1992, volume = 39, pages = {881-930}, number = 4, month = oct, keywords = {Distributed Computing; Algorithms; Languages; Reliability; Theory; Verification; argus; avalon; atomic actions; camelot; input-output automata; recovery; serializability; } } @INPROCEEDINGS{Hermjakob01, author = {U. Hermjakob}, title = {Parsing and question classification for question answering}, booktitle = {ACL-2001 Workshop on Open-Domain Question Answering}, year = 2001 } @InProceedings{HermjakobKnDa08, author = {Hermjakob, U. and Knight, K. and Daum\'{e} III, H.}, title = {Name Translation in Statistical Machine Translation - Learning When to Transliterate}, booktitle = {Proceedings of ACL-08: HLT}, month = {June}, year = 2008, address = {Columbus, Ohio}, pages = {389--397}, url = {http://www.aclweb.org/anthology/P/P08/P08-1045} } @INPROCEEDINGS{HermoLa99, author = {Montserrat Hermo and Vitor Lavin}, title = {Learning Minimal Covers of Functional Dependencies with Queries}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {291--300}, publisher = {Springer-Verlag} } @INCOLLECTION{Herrenstein90, author = {Herrenstein, J. Richard}, title = {Levels of Categorization}, booktitle = {Signal and Sense: Local and Global Order in Perceptual Maps}, publisher = {Wiley-Liss}, year = 1990, editor = {Edelman, M. Gerald and W. Einar Gall and W. Maxwell Cowan} } @INPROCEEDINGS{HershbergerSu01, author = {J. Hershberger and S. Suri}, title = {Simplified Kinetic Connectivity for Rectangles and Hypercubes}, booktitle = SODA, year = 2001, pages = {158--167} } @INPROCEEDINGS{HershbergerSu95, author = {J. Hershberger and S. Suri}, title = {Practical Methods for Approximating Shortest Paths on a Convex Polytope in {$\Re^3$}}, booktitle = SODA, year = 1995, pages = {447--456}, keywords = {geodesic paths, shortest paths, approximation algorithm} } @ARTICLE{HershbergerSu98, author = {J. Hershberger and S. Suri}, title = {Practical Methods for Approximating Shortest Paths on a Convex Polytope in {$\Re^3$}}, journal = CGTA, year = 1998, volume = 10, pages = {31--46}, number = 1 } @INPROCEEDINGS{HershbergerSu99, author = {J. Hershberger and S. Suri}, title = {Kinetic Connectivity of Rectangles}, booktitle = SOCG, year = 1999, pages = {237-246} } @BOOK{HertzKrPa91, title = {Introduction to the Theory of Neural Computation}, publisher = {Addison-Welsly}, year = 1991, author = {Hertz, J. and A. Krogh and R. G. Palmer} } @INPROCEEDINGS{Heskes98, author = {Tom Heskes}, title = {Solving a huge number of similar tasks: a combination of multi-task learning and a hierarchical {B}ayesian approach}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {233--241}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Hickl, author = {Jeremy Bensley and Andrew Hickl}, title = {Application of {LCC}'s {GROUNDHOG} {S}ystem for {RTE}-4}, booktitle = {Proceedings of TAC 2008. To appear}, year = 2009 } @InProceedings{HicklBensley07, author = {Hickl, Andrew and Bensley, Jeremy}, title = {A Discourse Commitment-Based Framework for Recognizing Textual Entailment}, booktitle = {Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing}, month = {June}, year = 2007, address = {Prague}, publisher = {Association for Computational Linguistics}, pages = {171--176}, url = {http://www.aclweb.org/anthology/W/W07/W07-1428} } @ARTICLE{Higuera97, author = {Colin de la Higuera}, title = {Characterisitc Sets for Polynomial Grammatical Inference}, journal = {Machine Learning}, year = 1997, volume = 27, pages = {125--138}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Higuera98, author = {Colin de la Higuera}, title = {Learning stochastic finite automata from experts}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {79--89}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Hindle83, author = {Hindle, D.}, title = {Deterministic parsing of syntactic non-fluencies}, booktitle = ACL, year = 1983 } @INPROCEEDINGS{Hindle89, author = {Hindle, D.}, title = {Acquiring disambiguation rules from text}, booktitle = ACL, year = 1989 } @INPROCEEDINGS{Hindle90, author = {Hindle, D.}, title = {Noun Classification from Predicate-Argument Structures}, booktitle = ACL, year = 1990, pages = {268--275} } @inproceedings(Hindle91, author = "D. Hindle and M. Rooth", title = "Structural Ambiguity and Lexical Relations", booktitle = ACL, pages = "229--236", year = 1991 ) @article(Hindle93, author = "Donald Hindle and Mats Rooth", title = "Structural Ambiguity and Lexical Relations", journal = CL, pages = "103--120", volume = 19, number = 1, year = 1993 ) @INPROCEEDINGS{HindleRo91, author = {D. Hindle and M. Rooth}, title = {Structural Ambiguity and Lexical Relations}, booktitle = ACL, year = 1991, pages = {229--236} } @ARTICLE{HindleRo93, author = {Donald Hindle and Mats Rooth}, title = {Structural Ambiguity and Lexical Relations}, journal = CL, year = 1993, volume = 19, pages = {103--120}, number = 1 } @INPROCEEDINGS{Hinton86, author = {G. E. Hinton}, title = {Learning Distributed Representations of Concepts}, booktitle = {Proc.\ 8th Annual Conf.\ of the Cognitive Science Society}, year = 1986, pages = {1--12}, address = {Hillsdale}, publisher = {Erlbaum} } @ARTICLE{Hinton89, author = {G. E. 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Arikawa}, title = {A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {262--275}, publisher = {Springer-Verlag} } @INBOOK{HirschbergPaAl94, chapter = 2, pages = {15--28}, title = {Average case analysis of k-{CNF} and k-{DNF} learning algorithms}, publisher = {MIT Press}, year = 1994, author = {Daniel S. Hirschberg and Michael J. Pazzani and Kamal M. Ali}, volume = {II: Intersections Between Theory and Experiment}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INCOLLECTION{Hirschman86, author = {L. Hirschman}, title = {Discovering sublanguage structures}, booktitle = {Analyzing Language in Restricted Domains: Sublanguage Description and Processing}, publisher = {Lawrence Erlbaum Associates}, year = 1986, editor = {R. 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Tani}, title = {The {VC} dimensions of finite automata with $n$ states}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {328--341}, publisher = {Springer-Verlag} } @INPROCEEDINGS{IshinoYa94, author = {A. Ishino and A. Yamamoto}, title = {Learning from examples with typed equational programming}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {301--316}, publisher = {Springer-Verlag} } @ARTICLE{IshinoYa97, author = {A. Ishino and A. Yamamoto}, title = {Generalizations in Typed Equational Programming and Their Application to Learning Functions}, journal = {New Generation Computing}, year = 1997, volume = 15, pages = {85--104}, number = 1, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{Ishizaka89, author = {H. Ishizaka}, title = {Learning simple deterministic languages}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {162--174}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{Ishizaka90, author = {H. Ishizaka}, title = {Polynomial time learnability of simple deterministic languages}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {151--164}, number = 2, note = {Special Issue on Computational Learning Theory; first appeared in 2nd COLT conference (1989)}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{IshizakaArSh93, author = {H. Ishizaka and H. Arimura and T. Shinohara}, title = {Efficient inductive inference of primitive prologs from positive data}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {135--146}, publisher = {Springer-Verlag} } @ARTICLE{IshizakaArSh98, author = {Hiroki Ishizaka and Hiroki Arimura and Takeshi Shinohara}, title = {Finding tree patterns consistent with positive and negative examples using queries}, journal = {Annals of Mathematics and Artificial Intelligence}, year = 1998, volume = 23, pages = {101--115}, number = {1/2}, note = {Special issue for AII '94 and ALT '94} } @INCOLLECTION{Israel85, author = {Israel, D.}, title = {A short companion to the Naive Physics Manifesto}, booktitle = {Formal theories of the commonsense world}, publisher = {Ablex Publishing Corporation}, year = 1985, editor = {J. R. Hobbs and R. C. Moore} } @INPROCEEDINGS{ItFrZhRa00, author = {A. Ittycheriah and M. Franz and W. Zhu and A. Ratnaparkhi}, title = {IBM's Statistical Question Answering System}, booktitle = {Proceedings of Text REtrieval Conference (TREC-9)}, year = 2000 } @ARTICLE{ItoAmKo92, author = {H. Ito and S.-I. Amari and K. Kobayashi}, title = {Identifiability of Hidden {M}arkov Information Sources and their Minimum Degrees of Freedom}, journal = {IEEE Trans. Information Theory}, year = 1992, volume = 38, pages = {324--333}, number = 2, month = Mar } @INPROCEEDINGS{ItoYa93, author = {K. Ito and A. Yamamoto}, title = {Polynomial-time {MAT} learning of multilinear logic programs}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {63--74}, publisher = {Springer-Verlag} } @ARTICLE{Itoga81, author = {S. Y. Itoga}, title = {A new heuristic for inferring regular grammars}, journal = {IEEE Trans. Pattern Anal. Mach. Intell.}, year = 1981, volume = {TPAMI-3}, pages = {191--197} } @INPROCEEDINGS{IttnerSc96, author = {Andreas Ittner and Michael Schlosser}, title = {Non-linear decision trees -- {NDT}}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {252--258}, publisher = {Morgan Kaufmann} } @inproceedings(Ittycheriah01, author = "A. Ittycheriah and M. Franz and W-J Zhu and A. Ratnaparkhi and R.J. Mammone", title = "{IBM}'s Statistical Question Answering System", booktitle = "Proceedings of the 9th Text Retrieval Conference, NIST", year = 2001 ) @inproceedings{Iwayama-tokunaga94, author = "M. Iwayama and T. Tokunaga", year = 1994, title = "A probabilistic model for text categorization based on a single random variable with multiple values", booktitle = {Proceedings of the 4th Conference on Applied Natural Language Processing} } @INPROCEEDINGS{IwayamaInMo93, author = {M. Iwayama and N. Indurkhya and H. Motoda}, title = {A new algorithm for automatic configuration of hidden {M}arkov models}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {237--250}, publisher = {Springer-Verlag} } @INPROCEEDINGS{IwayamaTo94, author = {M. Iwayama and T. Tokunaga}, title = {A probabilistic model for text categorization based on a single random variable with multiple values}, booktitle = {Proceedings of the 4th Conference on Applied Natural Language Processing}, year = 1994 } @INPROCEEDINGS{J.St98, author = { {J. Case, S. Jain, S. Kaufmann, A. Sharma and F. Stephan}}, title = {Predictive Learning Models for Concept Drift}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {276--290}, publisher = {Springer-Verlag} } @INPROCEEDINGS{JDLR07, author = {Johnston, Michael and D'Haro, Luis Fernando and Levine, Michelle and Renger, Bernard}, title = {A Multimodal Interface for Access to Content in the Home}, booktitle = ACL, year = 2007, pages = {376--383}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1048} } @ARTICLE{JGJS99, author = {Michael I. Jordan and Zoubin Ghahramani and Tommi S. Jaakkola and Lawrence K. Saul}, title = {An Introduction to Variational Methods for Graphical Models}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {183--233}, number = 2, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{JKLWZ00, author = {Sanjay Jain and Efim Kinber and Steffen Lange and Rolf Wiehagen and Thomas Zeugmann}, title = {Learning languages and functions by erasing}, journal = {Theoret. Comput. Sci.}, year = 2000, volume = 241, pages = {143--189}, number = {1-2}, note = {Special issue for ALT '96} } @INPROCEEDINGS{JMFK07, author = {Johnson, Howard and Martin, Joel and Foster, George and Kuhn, Roland}, title = {Improving Translation Quality by Discarding Most of the Phrasetable}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {967--975}, url = {http://www.aclweb.org/anthology/D/D07/D07-1103} } @BOOK{JORS99, title = {Systems that Learn: An Introduction to Learning Theory, second edition}, publisher = {MIT Press}, year = 1999, author = {Sanjay Jain and Daniel Osherson and James S. Royer and Arun Sharma}, address = {Cambridge, Massachusetts}, isbn = {0-262-10077-0} } @inproceedings{JTYY08, author = {Shuiwang Ji and Lei Tang and Shipeng Yu and Jieping Ye}, title = {Extracting shared subspace for multi-label classification}, booktitle = KDD, year = 2008, isbn = {978-1-60558-193-4}, pages = {381--389}, location = {Las Vegas, Nevada, USA}, doi = {http://doi.acm.org/10.1145/1401890.1401939}, publisher = {ACM}, address = {New York, NY, USA}, } @INPROCEEDINGS{Jackson00, author = {Jeffrey Jackson}, title = {On the Efficiency of Noise-Tolerant {PAC} Algorithms Derived from Statistical Queries}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {7--15}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Jackson94, author = {Jackson, J. }, title = {An Efficient Membership-Query Algorithm for Learning {DNF} with Respect to the Uniform Distribution}, booktitle = FOCS, year = 1994, pages = {42--53} } @ARTICLE{Jackson97, author = {Jeffrey C. Jackson}, title = {An efficient membership-query algorithm for learning {DNF} with respect to the uniform distribution}, journal = {J. Comput. Syst. Sci.}, year = 1997, volume = 55, pages = {414--440}, number = 3, note = {Earlier version appeared in FOCS '94} } @INPROCEEDINGS{JacksonTo92, author = {Jackson, Jeffrey and Tomkins, Andrew}, title = {A Computational Model of Teaching}, booktitle = {Proceedings of COLT '92}, year = 1992, pages = {319--326}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Jacobs92, author = {P. Jacobs}, title = {Joining statistics with {NLP} for text categorization}, booktitle = {Proceedings of the 3rd Conference on Applied Natural Language Processing}, year = 1992 } @TECHREPORT{JacobsJoBa90, author = {Jacobs, Robert A. and Michael A. Jordan and Andrew G. Barto}, title = {Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks}, institution = {COINS}, year = 1990, number = {90-27}, month = Mar, tag = {TOC-display} } @ARTICLE{JacobsJoHi91, author = {Jacobs, R. A. and M. I. Jordan and S. J. Nowlan and G. H. Hinton}, title = {Adaptive mixture of local experts}, journal = {Neural Computation}, year = 1991, volume = 108, pages = {212--261} } @BOOK{Jacobson74, title = {Basic Algebra}, publisher = {W. H. Freeman and Company}, year = 1974, author = {Jacobson, Nathan}, volume = 1, comment = {Classic abstract algebra text} } @ARTICLE{JadhavMu94, author = {S. Jadhav and A. Mukhopadhyay}, title = {Computing a centerpoint of a finite planar set of points in linear time}, journal = DCG, year = 1994, volume = 12, pages = {291--312} } @INPROCEEDINGS{Jaeger07, author = {M. Jaeger}, title = {Parameter learning for relational {Bayesian} networks}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {369--376}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{Jaeger97, author = {Jaeger, M.}, title = {Relational {{Bayesian}} Networks}, booktitle = {Proceedings of the 13th Conference on Uncertainty in Artificial Intelligence}, year = 1997, editor = {Morgan Kaufmann}, pages = {266--273}, url = {citeseer.nj.nec.com/jaeger97relational.html} } @ARTICLE{Jaffar90, author = {Joxan Jaffar}, title = {Minimal and Complete Word Unification}, journal = jacm, year = 1990, volume = 37, pages = {47-85}, number = 1, month = jan, keywords = {Formal Languages; Algorithms; Theory; unification; word problems;} } @INPROCEEDINGS{JagadishMaNg99, author = {H. V. Jagadish and J. Madar and R. T. Ng}, title = {Semantic Compression and Pattern Extraction with Fascicles}, booktitle = {VLDB'99}, year = 1999, editor = {M.P.~Atkinson and M.E.~Orlowska and P.~Valduriez and S.B. Zdonik and M.L.~Brodie}, pages = {186--198}, publisher = {Morgan Kaufmann}, isbn = {1-55860-615-5} } @INPROCEEDINGS{JagadishNg00, author = {H. V. Jagadish and R. T. Ng}, title = {Incompleteness in Data Minning}, booktitle = {Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD)}, year = 2000, pages = {1--10} } @PHDTHESIS{Jain90, author = {S. Jain}, title = {Learning in the Presence of Additional Information and Inaccurate Information}, school = {University of Rochester}, year = 1990 } @ARTICLE{Jain95, author = {S. Jain}, title = {On a Question about Learning Nearly Minimal Programs}, journal = {Inform. Proc. Lett.}, year = 1995, volume = 53, pages = {1--4}, number = 1 } @ARTICLE{Jain96, author = {Sanjay Jain}, title = {Program Synthesis in the Presence of Infinite Number of Inaccuracies}, journal = {J. Comput. Syst. Sci.}, year = 1996, volume = 53, pages = {583--591}, number = 3, note = {First appeared in ALT '94} } @ARTICLE{Jain98, author = {Sanjay Jain}, title = {Learning with Refutation}, journal = {J. Comput. Syst. Sci.}, year = 1998, volume = 57, pages = {256--365}, number = 3, note = {First appeared in ALT '98} } @ARTICLE{Jain99, author = {S. Jain}, title = {On a question of nearly minimal identification of functions}, journal = {Inform. Process. Lett.}, year = 1999, volume = 70, pages = {113--117}, number = 3 } @ARTICLE{Jain99a, author = {S. Jain}, title = {Robust behaviorally correct learning}, journal = {Inform. Comput.}, year = 1999, volume = 153, pages = {238--248}, number = 2 } @INPROCEEDINGS{JainKiWi00, author = {Sanjay Jain and Efim Kinber and Rolf Wiehagen}, title = {Language Learning From Texts: {D}egrees of Instrinsic Complexity and Their Characterizations}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {47--58}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{JainKiWi96, author = {Sanjay Jain and Efim Kinber and Rolf Wiehagen}, title = {On learning and co-learning of minimal programs}, booktitle = {Algorithmic Learning Theory: ALT '96}, year = 1996, volume = 1160, series = {Lecture Notes in Artificial Intelligence}, pages = {242--255}, publisher = {Springer-Verlag} } @INPROCEEDINGS{JainLaNe97, author = {Sanjay Jain and Steffen Lange and Jochen Nessel}, title = {Learning of {r.e.} languages from good examples}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {32--47}, publisher = {Springer-Verlag} } @TECHREPORT{JainSh89, author = {S. Jain and A. Sharma}, title = {Knowledge of an Upper Bound on Grammar Size Helps Language Learning}, institution = {University of Rochester}, year = 1989, number = 283 } @TECHREPORT{JainSh89a, author = {S. Jain and A. Sharma}, title = {Recursion Theoretic Characterizations of Language Learning}, institution = {University of Rochester}, year = 1989, number = 281 } @INPROCEEDINGS{JainSh90, author = {S. Jain and A. Sharma}, title = {Finite learning by a {\sl team}}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {163--177}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{JainSh90a, author = {S. Jain and A. Sharma}, title = {Hypothesis Formation and Language Acquisition with an Infinitely Often Correct Teacher}, booktitle = {Proc. of the Third Conference on Theoretical Aspects of Reasoning About Knowledge}, year = 1990, pages = {225--239}, month = mar, publisher = {Morgan Kaufmann, Inc.} } @INPROCEEDINGS{JainSh90b, author = {S. Jain and A. Sharma}, title = {Language Learning by a Team}, booktitle = {Proc. of the 17th International Colloquium on Automata, Languages and Programming}, year = 1990, pages = {153--166}, month = jul, publisher = {Springer-Verlag} } @TECHREPORT{JainSh90c, author = {S. Jain and A. Sharma}, title = {Program Size Restrictions in Inductive Learning}, institution = {University of Delaware, Newark, Delaware}, year = 1990, number = {90-06} } @ARTICLE{JainSh91, author = {S. Jain and A. Sharma}, title = {Learning in the Presence of Partial Explanations}, journal = {Inform. Comput.}, year = 1991, volume = {95-2}, pages = {162--191}, annote = {Also Univ. of Rochester TR 282 in 1989} } @INPROCEEDINGS{JainSh91a, author = {S. Jain and A. Sharma}, title = {Restrictions on Grammar Size in Language Identification}, booktitle = {Proc. MLNLO'91, Machine Learning of Natural Language and Ontology, Stanford University, California. Document {\bf D91-09}, DFKI: Kaiserslautern FRG, 1991}, year = 1991, pages = {87--92}, month = mar } @TECHREPORT{JainSh93, author = {S. Jain and A. Sharma}, title = {Computational Limits on Team Identification of Languages}, institution = {School of Computer Science and Engineering; University of New South Wales}, year = 1993, number = 9301 } @ARTICLE{JainSh93a, author = {S. Jain and A. Sharma}, title = {Learning with the Knowledge of an Upper Bound on Program Size}, journal = {Inform. Comput.}, year = 1993, volume = {102--1}, pages = {118--166}, note = {Presented at the Workshop on Computational Learning Theory and Natural Learning Systems} } @ARTICLE{JainSh93b, author = {S. Jain and A. Sharma}, title = {On the non-existence of maximal inference degrees for language identification}, journal = {Inform. Proc. Lett.}, year = 1993, volume = {47--2}, pages = {81--88} } @INPROCEEDINGS{JainSh93c, author = {S. Jain and A. Sharma}, title = {Probability is more powerful than team for language identification from positive data}, booktitle = {Proc. 6th Annu. Conference on Comput. Learning Theory}, year = 1993, pages = {192--198}, address = {New York, New York}, publisher = {ACM Press} } @ARTICLE{JainSh94, author = {Sanjay Jain and Arun Sharma}, title = {Characterizing language identification by standardizing operations}, journal = {J. of Comput. Syst. Sci.}, year = 1994, volume = 49, pages = {96--107}, number = 1, annote = {Was in {\sl Advances in Computing and Information, Proceedings of the International Conference on Computing and Information, Niagara Falls, Canada} in 1990} } @INPROCEEDINGS{JainSh94a, author = {S. Jain and A. Sharma}, title = {On the intrinsic complexity of language identification}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {278--286}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{JainSh94b, author = {S. Jain and A. Sharma}, title = {On monotonic strategies for learning r.e.\ languages}, booktitle = {Algorithmic Learning Theory, Proceedings of the 4th International Workshop on Analogical and Inductive Inference, AII'94 and 5th International Workshop on Algorithmic Learning Theory, ALT'94, Reinhardsbrunn Castle, Germany}, year = 1994, pages = {349--364}, month = oct, publisher = {Springer Verlag}, note = {Lecture Notes in AI 872} } @ARTICLE{JainSh94c, author = {S. Jain and A. Sharma}, title = {Program Size Restrictions in Computational Learning}, journal = {Theoret. Comput. Sci. A}, year = 1994, volume = 127, pages = {351--386} } @ARTICLE{JainSh95, author = {S. Jain and A. Sharma}, title = {On Aggregating Teams of Learning Machines}, journal = {Theoret. Comput. Sci.}, year = 1995, volume = 137, pages = {85--108}, number = 1, note = {Special Issue for ALT '93} } @INCOLLECTION{JainSh95a, author = {Sanjay Jain and Arun Sharma}, title = {On identification by teams and probabilistic machines}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {108--145} } @ARTICLE{JainSh95b, author = {S. Jain and A. Sharma}, title = {Prudence in Vacillatory Language Identification}, journal = {Math. Syst. Theory}, year = 1995, volume = 28, annote = {Earlier version in {\it Proc. of the Third Workshop on Algorithmic Learning Theory} in 1992} } @INPROCEEDINGS{JainSh95c, author = {S. Jain and A. Sharma}, title = {The Structure of Intrinsic Complexity of Learning}, booktitle = {Proc. of the Second European Conference on Computational Learning Theory, (EUROCOLT) Barcelona, Spain}, year = 1995, month = mar, publisher = {Springer-Verlag} } @INPROCEEDINGS{JainSh96, author = {Sanjay Jain and Arun Sharma}, title = {Elementary formal systems, intrinsic complexity, and procrastination}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {181--192}, publisher = {ACM Press, New York, NY} } @ARTICLE{JainSh98, author = {Sanjay Jain and Arun Sharma}, title = {Generalization and specialization strategies for learning r.e. languages}, journal = {Annals of Mathematics and Artificial Intelligence}, year = 1998, volume = 23, pages = {1--26}, number = {1/2}, note = {Special issue for AII '94 and ALT '94} } @INPROCEEDINGS{JainSh99, author = {Sanjay Jain and Arun Sharma}, title = {On a generalized notion of mistake bounds}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {249--256}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{JainSh99a, author = {Sanjay Jain and Arun Sharma}, title = {Mind Change Complexity of Learning Logic Programs}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {198--213}, publisher = {Springer-Verlag} } @INPROCEEDINGS{JainShCa89, author = {S. Jain and A. Sharma and J. Case}, title = {Convergence to nearly minimal size grammars by vacillating learning machines}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {189--199}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @ARTICLE{JainShVe95, author = {Sanjay Jain and Arun Sharma and Mahendran Velauthapillai}, title = {Finite Identification of Functions by Teams with Success Ratio $\frac{1}{2}$ and Above}, journal = {Inform. Comput.}, year = 1995, volume = {121--2}, pages = {201--213} } @INPROCEEDINGS{JainSmWi98, author = {Sanjay Jain and Carl Smith and Rolf Wiehagen}, title = {On the power of learning robustly}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {187--197}, publisher = {ACM Press, New York, NY} } @BOOK{JamesPD86, title = {PARALLEL DISTRIBUTED PROCESSING Explorations in the Microstructure of Cognition Volume 1: Foundations}, publisher = {The MIT Press}, year = 1986, author = {James L. McClelland, David E. Rumelhart and the PDP Research Group}, address = {Cambridge, Massachusetts} } @ARTICLE{Janikow93, author = {Cezary Z. Janikow}, title = {A Knowledge-Intensive Genetic Algorithm for Supervised Learning}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {189--228}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Jansche07, author = {Jansche, Martin}, title = {A Maximum Expected Utility Framework for Binary Sequence Labeling}, booktitle = ACL, year = 2007, pages = {736--743}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1093} } @INPROCEEDINGS{Jantke79, author = {K. Jantke}, title = {Automatic Synthesis of Programs and Inductive Inference of Functions}, booktitle = {Fundamentals of Computations Theory, FCT' 79, Proc. of the Conference on Algebraic, Arithmetic, and Categorial Methods in Computation Theory}, year = 1979, pages = {219--225}, address = {Berlin}, publisher = {Akademie-Verlag} } @PHDTHESIS{Jantke79a, author = {K. Jantke}, title = {Leistungsf{\"a}higkeit und {K}ompliziertheit universeller Verfahren zur {E}rkennung allgemein-rekursiver Funktionen}, school = {Humboldt-Universitat, Berlin}, year = 1979 } @ARTICLE{Jantke79b, author = {K. P. Jantke}, title = {Natural properties of strategies identifying recursive functions}, journal = {Elektronische Informationsverarbeitung und Kybernetik}, year = 1979, volume = 15, pages = {487--496} } @INPROCEEDINGS{Jantke84, author = {Jantke, K. P.}, title = {Polynomial-time inference of general pattern languages}, booktitle = {Proceedings of the Symposium of Theoretical Aspects of Computer Science; Lecture Notes in Computer Science}, year = 1984, volume = 166, pages = {314-325}, publisher = {Springer} } @INPROCEEDINGS{Jantke86, author = {K. P. Jantke}, title = {An Algebraic Framework for Inductive Program Synthesis}, booktitle = {Proc. Int. Spring School on Mathematical Methods of Specification and Synthesis of Software Systems '85}, year = 1986, volume = 215, series = {Lecture Notes in Computer Science}, pages = {101--122} } @INPROCEEDINGS{Jantke90, author = {K. P. Jantke}, title = {Monotonic and Nonmonotonic Inductive Inference of Functions and Patterns}, booktitle = {Nonmonotonic and Inductive Logic, 1st International Workshop, Karlsruhe, Germany}, year = 1990, pages = {161--177}, publisher = {Springer Verlag}, note = {Lecture Notes in Computer Science 543} } @ARTICLE{Jantke91, author = {K. P. Jantke}, title = {Monotonic and Non-monotonic Inductive Inference}, journal = {New Generation Computing}, year = 1991, volume = 8, pages = {349--360}, number = 4 } @INPROCEEDINGS{Jantke92, author = {K. P. Jantke}, title = {Case based learning in inductive inference}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {218--223}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Jantke95, author = {Klaus P. Jantke}, title = {Reflecting and self-confident inductive inference machines}, booktitle = {Proc. 6th Int. Workshop on Algorithmic Learning Theory}, year = 1995, pages = {282--297}, publisher = {Springer-Verlag} } @ARTICLE{JantkeBe81, author = {K. Jantke and H. Beick}, title = {Combining postulates of naturalness in inductive inference}, journal = {Elektronische Informationsverarbeitung und Kybernetik}, year = 1981, volume = 17, pages = {465--484} } @ARTICLE{JantkeLa95, author = {K. P. Jantke and S. Lange}, title = {Case-Based Representation and Learning of Pattern Languages}, journal = {Theoret. Comput. Sci.}, year = 1995, volume = 137, pages = {25--51}, number = 1, note = {Special Issue for ALT '93} } @INPROCEEDINGS{JappyNoGa96, author = {Pascal Jappy and Richard Nock and Olivier Gascuel}, title = {Negative robust learning results for {H}orn clause programs}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {258--265}, publisher = {Morgan Kaufmann} } @ARTICLE{Jaynes68, author = {Jaynes, E. T.}, title = {Prior Probabilities}, journal = {IEEE Transactions on Systems Science and Cybernetics}, year = 1968, volume = {SSC-4}, pages = {227--241}, number = 3, month = Sep, comment = {Presentation and justification for maximum-entropy procedure} } @ARTICLE{Jaynes82, author = {Jaynes, E. T.}, title = {On the Rationale of Maximum-Entropy Methods}, journal = {Proceedings of the IEEE}, year = 1982, volume = 70, pages = {939--952}, number = 9, month = Sep, comment = {Justification for maximum-entropy methods, and comparison with full Bayesian and autoregressive models.} } @TECHREPORT{Jelinek83, author = {Jelinek, Frederick}, title = {Markov Source Modeling of Text Generation}, institution = {IBM T.J. Watson Research Center}, year = 1983, comment = {Interpolates 1-, 2-, and 3-gram transistion probabilities.} } @article(Jelinek85, author = "F. Jelinek and R. Mercer", title = "Probability distribution estimation from sparse data", journal = "IBM Technical Disclosure Bulletin", volume = 28, pages = "2591--2594", year = 1985 ) @INCOLLECTION{Jelinek90, author = {Frederick Jelinek}, title = {Self-Organized Language Modeling for Speech Recognition}, booktitle = {Readings in Speech Recognition}, publisher = {Morgan Kaufmann Publishers, Inc.}, year = 1990, editor = {Alex Waibel and Kai-Fu Lee}, pages = {450-506}, address = {San Mateo, California} } @INPROCEEDINGS{Jelinek91, author = {Fred Jelinek}, title = {Up From Trigrams!}, booktitle = {Eurospeech}, year = 1991 } @incollection(Jelinek92, author = "Frederick Jelinek and Robert L. Mercer and Salim Roukos", title = "Principles of Lexiacal Language Modeling for Speech Recognition", booktitle = "Advances in Speech Signal Processing", publisher = "Mercer Dekker, Inc.", year = 1992, pages = "651-699", editor = "Sadaoki Furui and M. 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Conrath", title = "Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy", booktitle = "Proceedings of International conference on Research in Computational Linguistics", year = 1997, pages = "19-33", } @ARTICLE{JiangLi93, author = {T. Jiang and M. Li}, title = {On the complexity of learning strings and sequences}, journal = {Theoret. Comput. Sci.}, year = 1993, volume = 119, pages = {363--371}, annote = {Was in COLT91} } @INPROCEEDINGS{JiangZh07, author = {Jiang, Jing and Zhai, ChengXiang}, title = {Instance Weighting for Domain Adaptation in NLP}, booktitle = ACL, year = 2007, pages = {264--271}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1034} } @InProceedings{JiangZh07a, author = {Jiang, Jing and Zhai, ChengXiang}, title = {A Systematic Exploration of the Feature Space for Relation Extraction}, booktitle = {Proceeding of NAACL-HLT}, month = {April}, year = 2007, address = {Rochester, New York}, publisher = {Association for Computational Linguistics}, pages = {113--120}, url = {http://www.aclweb.org/anthology/N/N07/N07-1015} } @inproceedings{JijkounRi05, author = {V. 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K\'{o}mlos and R. Paturi}, title = {Convergence Results in the {H}opfield Model}, institution = {Department of Computer Science and Engineering, University of California, San Diego}, year = 1987, number = {Technical Report Number CS-104}, month = sep } @ARTICLE{KBMSH94, author = {A. Krogh and M. Brown and I. S. Mian and K. Sj{\"o}lander and D. Haussler}, title = {Hidden {Markov} models in computational biology: Applications to protein modeling}, journal = {Journal of Molecular Biology}, year = 1994, volume = 235, pages = {1501--1531}, month = feb, annotate = {The JMB paper.} } @INPROCEEDINGS{KGCC07, author = {Koo, Terry and Globerson, Amir and Carreras, Xavier and Collins, Michael}, title = {Structured Prediction Models via the Matrix-Tree Theorem}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {141--150}, url = {http://www.aclweb.org/anthology/D/D07/D07-1015} } @INPROCEEDINGS{KGZPS90, author = {E. B. Kinber and W. I. Gasarch and T. Zeugmann and M. K. Pleszkoch and C. H. Smith}, title = {Learning via queries with teams and anomalies}, booktitle = {Proc. 3rd Annu. Workshop on Comput. Learning Theory}, year = 1990, pages = {327--337}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @incollection{KKSA08, title = {Multi-Task Learning via Conic Programming}, author = {Tsuyoshi Kato and Hisashi Kashima and Masashi Sugiyama and Kiyoshi Asai}, booktitle = {Advances in Neural Information Processing}, editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis}, publisher = {MIT Press}, address = {Cambridge, MA}, pages = {737--744}, year = 2008 } @ARTICLE{KLPS86, author = {K. Kedem and R. Livne and J. Pach and M. Sharir}, title = {On the union of {Jordan} regions and collision-free translational motion amidst polygonal obstacles}, journal = DCG, year = 1986, volume = 1, pages = {59--71}, keywords = {motion planning, two-dimensional, Jordan curves} } @INPROCEEDINGS{KLPV87, author = {M. Kearns and M. Li and L. Pitt and L. Valiant}, title = {On the learnability of {B}oolean formulae}, booktitle = {Proc. 19th Annu. ACM Sympos. Theory Comput.}, year = 1987, pages = {285--294}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KMNPSW02, author = {T.~Kanungo and D.~.M.~Mount and N.~S.~Netanyahu and C.~D.~Piatko and R.~Silverman and A.~Y.~Wu}, title = {A local search approximation algorithm for $k$-means clustering}, booktitle = SOCG, year = 2002, pages = {10--18} } @ARTICLE{KMNR97, author = {Michael Kearns and Yishay Mansour and Andrew Y. Ng and Dana Ron}, title = {An Experimental and Theoretical Comparison of Model Selection Methods}, journal = {Machine Learning}, year = 1997, volume = 27, pages = {7--50}, annote = {Earlier version in COLT95}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KMTZ92, author = {S. R. Kulkarni and S. K. Mitter and J. N. Tsitsiklis and O. Zeitouni}, title = {{PAC} learning with generalized samples and an application to stochastic geometry}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {172--179}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KPPB07, author = {K. Kersting and C. Plagemann and P. Pfaff and W. Burgard}, title = {Most likely heteroscedastic {Gaussian} process regression}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {393--400}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{KPSW99, author = {Efim Kinber and Christophe Papazian and Carl Smith and Rolf Wiehagen}, title = {On the intrinsic complexity of learning recursive functions}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {257--266}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KSNM03, author = {D. Klein and J. Smarr and H. Nguyen and C. 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Lansky} } @TECHREPORT{Kaelbling90, author = {Kaelbling, L.}, title = {Learning in Embedded Systems}, year = 1990, school = {Department of Computer Science, Stanford University} } @INBOOK{Kaelbling94, chapter = 9, pages = {133--153}, title = {Associative methods in reinforcement learning: an empirical study}, publisher = {MIT Press}, year = 1994, author = {Leslie Pack Kaelbling}, volume = {II: Intersections Between Theory and Experiment}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @ARTICLE{Kaelbling94a, author = {Leslie Pack Kaelbling}, title = {Associative Reinforcement Learning: Functions in {\it k}-{DNF}}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {279--298}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Kaelbling94b, author = {Leslie Pack Kaelbling}, title = {Associative Reinforcement Learning: {A} Generate and Test Algorithm}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {299--319}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KahanSn96, author = {S. Kahan and J. Snoeyink}, title = {{On the bit complexity of minimum link paths: Superquadratic algorithms for problems solvable in linear time}}, booktitle = SOCG, year = 1996, pages = {151--158} } @INPROCEEDINGS{Kahn04, author = {Joseph M. Kahn}, title = {A Generative Bayesian Model for Aggregating Experts}, booktitle = {UAI}, year = 2004, pages = {301-308} } @INPROCEEDINGS{KahnKaLi88, author = {Kahn, J and G. Kalai and N. Linial}, title = {The influence of variables on boolean functions}, booktitle = {Proceedings of the Twenty-Ninth Annual Symposium on Foundations of Computer Science}, year = 1988, pages = {68--80}, address = {White Plains, NY}, month = Oct } @TECHREPORT{KahnLi88, author = {Kahn, Jeff and Nathan Linial}, title = {Balancing Extensions via {Brunn-Minkowski}}, institution = {Rutgers Center for Operations Research}, year = 1988, number = {RRR 57-88}, month = Nov, note = {To appear in {\em Combinatorica}}, comment = {Proves that in a partial order you can find two elements x,y such that 1/2e < Prob(x>y) < 1-1/2e.} } @INPROCEEDINGS{Kaji92, author = {Hiroyuki Kaji and Yuuko Kida and Yasutsugu Morimoto}, title = {Learning translation templates from bilingual texts}, booktitle = {Coling}, year = 1992 } @INPROCEEDINGS{KajiKi07, author = {Kaji, Nobuhiro and Kitsuregawa, Masaru}, title = {Building Lexicon for Sentiment Analysis from Massive Collection of {HTML} Documents}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {1075--1083}, url = {http://www.aclweb.org/anthology/D/D07/D07-1115} } @INPROCEEDINGS{KakasRi97, author = {A.C. Kakas and F. Riguzzi}, title = {Learning with Abduction}, booktitle = {Proceedings of the Seventh International Workshop on Inductive Logic Programming (ILP97)}, year = 1997, number = 1297, series = {Lecture Notes in Artificial Intelligence}, pages = {181--189}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KakiharaIm93, author = {K. Kakihara and H. Imai}, title = {Notes on the {PAC} learning of geometric concepts with additional information}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {252--259}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KalaiChBlRo99a, author = {A. Kalai and S. Chen and A. Blum and R. Rosenfelds}, title = {On-Line Algorithms for Combining Language Models}, booktitle = {ICASSP-99}, year = 1999, address = {Phoenix, Arizona} } @ARTICLE{KallesMo96, author = {Dimitrios Kalles and Tim Morris}, title = {Efficient Incremental Induction of Decision Trees}, journal = {Machine Learning}, year = 1996, volume = 24, pages = {231--242}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Kalnishkan99, author = {Yuri Kalnishkan}, title = {General Linear Relations among Different Types of Predictive Complexity}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {323--334}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Kalnishkan99a, author = {Yuri Kalnishkan}, title = {Linear relations between square-loss and {K}olmogorov complexity}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {226--232}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KalyanasundaramVe95, author = {Bala Kalyanasundaram and Mahendran Velauthapillai}, title = {Simulating teams with many conjectures}, booktitle = {Proc. 6th Int. Workshop on Algorithmic Learning Theory}, year = 1995, pages = {201--214}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KamelFa94, author = {I. Kamel and C. Faloutsos}, title = {Hilbert {R}-tree: {A}n improved {R}-tree using fractals}, booktitle = {Proc. 20th VLDB Conference}, year = 1994, pages = {500--510} } @INPROCEEDINGS{Kamimura93, author = {R. Kamimura}, title = {Competitive learning by entropy minimization}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {111--122}, publisher = {Springer-Verlag} } @ARTICLE{Kamimura98, author = {R. Kamimura}, title = {Minimizing alpha-Information for Generalization and Interpretation}, journal = {Algorithmica}, year = 1998, volume = 22, pages = {173--197}, number = {1/2} } @ARTICLE{Kaminski89, author = {Michael Kaminski}, title = {A Note on Probabilistically Verifying Integer and Polynomial Products}, journal = jacm, year = 1989, volume = 36, pages = {142-149}, number = 1, month = jan, keywords = {Symbolic Algebra; Algorithms; Theory; Verification; cyclotomic polynomials; polynomial and integer multiplication; probabilistic algorithms;} } @ARTICLE{Kaminski89a, author = {Michael Kaminski and Nader H. Bshouty}, title = {Multiplicative Complexity of Polynomial Multiplication over Finite Fields}, journal = jacm, year = 1989, volume = 36, pages = {150-170}, number = 1, month = jan, keywords = {Symbolic Algebra; Algorithms; Theory; Verification; bilinear algorithms; Hankel matrices; linear recurring sequences; polynomial multiplication;} } @ARTICLE{KampRe96, author = {Kamp, H. and U Reyle}, title = {A Calculus for First Order Discourse Representation Structures}, journal = {Logic, Language and Information}, year = 1996, volume = 5, pages = {297-348} } @INPROCEEDINGS{Kanazawa07, author = {Kanazawa, Makoto}, title = {Parsing and Generation as Datalog Queries}, booktitle = ACL, year = 2007, pages = {176--183}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1023} } @article{KandolaShCr03, title = {Learning Semantic Similarity}, author = {Kandola, J. and Shawe-Taylor, J. and Cristianini, N.}, journal = {NIPS}, pages = {673--680}, year = 2003, publisher = {MIT; 1998} } @BOOK{Kanerva88, title = {Sparse Distributed Memory}, publisher = {MIT Press}, year = 1988, author = {P. Kanerva}, address = {Cambridge, Massachusetts}, comment = {Discusses nearest-neighbor techniques for learning.} } @INPROCEEDINGS{KangOh95, author = {Kukjin Kang and Jong-Hoon Oh}, title = {Learning by a population of perceptrons}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {297--300}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Kannan93, author = {S. Kannan}, title = {On the query complexity of learning}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {58--66}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KannanVeVe00, author = {R. Kannan and S. Vempala and A. Vetta}, title = {On clusterings: good, bad and spectral}, booktitle = FOCS, year = 2000 } @INPROCEEDINGS{KaoReTa93, author = {M. Kao and J. H. Reif and S. R. Tate}, title = {Searching in an Unknown Environment: An Optimal Randomized Algorithm for the Cow-Path Problem}, booktitle = {Proc. SODA 93}, year = 1993, pages = {441--447}, month = jan } @ARTICLE{Kapoor89, author = {Sanjiv Kapoor and Edward M. Reingold}, title = {Optimum Lopsided Binary Trees}, journal = jacm, year = 1989, volume = 36, pages = {573-590}, number = 3, month = jul, keywords = {Data Structures and Algorithms; Algorithms; Discrete Mathematics; Theory; Verification; algorithmic analysis; binary search; binary search trees; binary trees; coding theory; data structure; edge-weighted trees; Fibonacci numbers; Fibonacci trees; information theory; Kraft's inequality; minimax recurrence relations; optimal trees; path lengths; prefix-free codes; unbounded search; } } @INPROCEEDINGS{Kapoor99, author = {S. Kapoor}, title = {Efficient Computation of Geodesic Shortest Paths}, booktitle = {Proc. 31rd Annu. ACM Sympos. Theory Comput.}, year = 1999, pages = {770--779} } @INPROCEEDINGS{Kapur93, author = {S. Kapur}, title = {Monotonic language learning}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {147--158}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Kapur93a, author = {S. Kapur}, title = {Uniform characterizations of various kinds of language learning}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {197--208}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Kapur94, author = {S. Kapur}, title = {Language learning under various types of constraint combinations}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, volume = 872, series = {Lecture Notes in Artificial Intelligence}, pages = {365--378}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KapurBi92, author = {S. Kapur and G. Bilardi}, title = {Language learning from stochastic input}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {303--310}, publisher = {ACM Press, New York, NY} } @ARTICLE{KapurBi92a, author = {S. Kapur and G. Bilardi}, title = {On uniform learnability of language families}, journal = {Information Processing Letters}, year = 1992, volume = 44, pages = {35--38}, number = 1 } @ARTICLE{KapurBi95, author = {S. Kapur and G. Bilardi}, title = {Language learning without overgeneralization}, journal = {Theoret. Comput. Sci.}, year = 1995, volume = 141, pages = {151--162}, number = {1/2} } @BOOK{KapurKe92, title = {Entropy Optimization Principles with Applications}, publisher = {Academic Press, Inc.}, year = 1992, author = {J. N. Kapur and H. K Kesavan} } @INPROCEEDINGS{KapurNA86, author = {Kapur, D. and P. Narendran}, title = {{NP}-completeness of the set unification and matching problmes.}, booktitle = {Proc. of the 8th conference on {A}utomated {D}deduction}, year = 1986, volume = 230, pages = {489--495}, publisher = {Springer Verlag} } @ARTICLE{KaraliccaronBr97, author = {Aram Karaliccaron and Ivan Bratko}, title = {First Order Regression}, journal = {Machine Learning}, year = 1997, volume = 26, pages = {147--176}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KaravelasGu01, author = {M. I. Karavelas and L. J. Guibas}, title = {Static and kinetic geometric spanners with applications}, booktitle = SODA, year = 2001, pages = {168--176} } @INPROCEEDINGS{KarimiScTu07, author = {Karimi, Sarvnaz and Scholer, Falk and Turpin, Andrew}, title = {Collapsed Consonant and Vowel Models: New Approaches for English-Persian Transliteration and Back-Transliteration}, booktitle = ACL, year = 2007, pages = {648--655}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1082} } @INPROCEEDINGS{KarimiTuSc07, author = {Karimi, Sarvnaz and Turpin, Andrew and Scholer, Falk}, title = {Corpus Effects on the Evaluation of Automated Transliteration Systems}, booktitle = ACL, year = 2007, pages = {640--647}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1081} } @INPROCEEDINGS{Karlsson90, author = {Fred Karlsson}, title = {Constraint grammar as a framework for parsing running text}, booktitle = Coling, year = 1990 } @INPROCEEDINGS{KarovEd96, author = {Y. Karov and S. Edelman}, title = { Learning similarity-based word sense disambiguation from sparse data}, booktitle = { Fourth workshop on very large corpora}, year = 1996, pages = {42-55} } @ARTICLE{KarovEd98, author = {Y. Karov and S. Edelman}, title = {Similarity-based word sense disambiguation}, year = 1998, volume = 4, pages = {41--59}, booktitle = {Computational Linguistics} } @ARTICLE{Karp93, author = {Peter D. Karp}, title = {Design Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology}, journal = {Machine Learning}, year = 1993, volume = 12, pages = {89--116}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KarpWaZw95, author = {R. M. Karp and O. Waarts and G. Zweig}, title = {The bit vector intersection problem}, booktitle = FOCS, year = 1995, pages = {621--630} } @INPROCEEDINGS{KarpinskiMa95, author = {Marek Karpinski and Angus Macintyre}, title = {Bounding {VC}-dimension for neural networks: progress and prospects}, booktitle = {Computational Learning Theory: EuroColt '95}, year = 1995, pages = {337--341}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KarpinskiMa95a, author = {Marek Karpinski and Angus Macintyre}, title = {Polynomial bounds for {VC} dimension of sigmoidal neural networks}, booktitle = {Proc. 27th Annual ACM Symposium on Theory of Computing}, year = 1995, pages = {200--208}, publisher = {ACM Press, New York, NY} } @ARTICLE{KarpinskiMa97, author = {Marek Karpinski and Angus Macintyre}, title = {Polynomial Bounds for {VC} Dimension of Sigmoidal and General Pfaffian Neural Networks}, journal = {J. Comput. Syst. Sci.}, year = 1997, volume = 54, pages = {169--176}, number = 1 } @INBOOK{KarpinskiWe94, chapter = 11, pages = {331--354}, title = {{VC} dimension and sampling complexity of learning sparse polynomials and rational functions}, publisher = {MIT Press}, year = 1994, author = {Marek Karpinski and Thorsten Werther}, volume = {I: Constraints and Prospects}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @ARTICLE{Katajainen92, author = {Jyrki Katajainen and Timo Raita}, title = {An Analysis of the Longest Match and the Greedy Heuristics in Text Encoding}, journal = jacm, year = 1992, volume = 39, pages = {281-294}, number = 2, month = apr, keywords = {Data Structures and Algorithms; Algorithms; Theory; optimal and heuristic encoding; shortest paths; textual substitution; } } @INPROCEEDINGS{KatrenkoAd05, author = {Sophia Katrenko and Peter Adriaans}, title = {Using Maximal Embedded Syntactic Subtrees for Textual Entailment Recognition}, booktitle = {Proceedings of the Second PASCAL Challenges Workshop on Recognizing Textual Entailment}, year = 2005, } @ARTICLE{Katz87, author = {Slava M. Katz}, title = {Estimation of probabilities from sparse data for the language model component of a speech recognizer}, journal = TASSP, year = 1987, volume = 35, pages = {400--401}, number = 3 } @ARTICLE{KatzOvSh92, author = {M. J. Katz and M. H. Overmars and M. Sharir}, title = {Efficient hidden surface removal for objects with small union size}, journal = CGTA, year = 1992, volume = 2, pages = {223--234}, keywords = {hidden surface removal} } @ARTICLE{KatzVo86, author = {M. D. Katz and D. J. Volper}, title = {{Data structures for retrieval on square grids}}, journal = SICOMP, year = 1986, volume = 15, pages = {919--931}, number = 4 } @INPROCEEDINGS{KaufmannSt97, author = {Susanne Kaufmann and Frank Stephan}, title = {Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {263--274}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KaufmannSt97a, author = {Susanne Kaufmann and Frank Stephan}, title = {Robust learning with infinite additional information}, booktitle = {Computational Learning Theory: EuroColt '97}, year = 1997, pages = {316--330}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KautzSe91, author = {Kautz, H. and B. Selman}, title = {A General Framework for Knowledge Compilation}, year = 1991, journal = {Proceedings of the International Workshop on Processing Declarative Knowledge, Kaiserlautern, Germany} } @INPROCEEDINGS{KautzSe92, author = {Kautz, H. and B. Selman}, title = {Forming Concepts for Fast Inference}, booktitle = {Proceedings of AAAI-92}, year = 1992 } @INPROCEEDINGS{KautzSe92a, author = {Henry Kautz and Bart Selman}, title = {Speeding inference by acquiring new concepts}, booktitle = {Proc. of AAAI-92}, year = 1992, address = {San Jose}, month = jul } @INPROCEEDINGS{KawaharaKu07, author = {Kawahara, Daisuke and Kurohashi, Sadao}, title = {Probabilistic Coordination Disambiguation in a Fully-Lexicalized {J}apanese Parser}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {306--314}, url = {http://www.aclweb.org/anthology/D/D07/D07-1032} } @TECHREPORT{Kay80, author = {Martin Kay}, title = {The proper place of men and machines in language translation}, institution = {Xerox Palo Alto Research Center}, year = 1980, number = {CSL-80-11}, place = {Palo Alto, California} } @article(Kay93, author = "M. Kay and M. Roscheisen", title = "Text-translation alignment", journal = CL, year = 1993, volume = 19, number = 1, pages = "121--142" ) @ARTICLE{KayRo93, author = {M. Kay and M. Roscheisen}, title = {Text-translation alignment}, journal = CL, year = 1993, volume = 19, pages = {121--142}, number = 1 } @INPROCEEDINGS{KazamaTo07, author = {Kazama, Jun'ichi and Torisawa, Kentaro}, title = {A New Perceptron Algorithm for Sequence Labeling with Non-Local Features}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {315--324}, url = {http://www.aclweb.org/anthology/D/D07/D07-1033} } @INPROCEEDINGS{KazamaTo07a, author = {Kazama, Jun'ichi and Torisawa, Kentaro}, title = {Exploiting {Wikipedia} as External Knowledge for Named Entity Recognition}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {698--707}, url = {http://www.aclweb.org/anthology/D/D07/D07-1073} } @ARTICLE{Kazman94, author = {Rick Kazman}, title = {Simulating the Child's Acquisition of the Lexicon and Syntax -- Experiences with {\it Babel}}, journal = {Machine Learning}, year = 1994, volume = 16, pages = {87--120}, publisher = {Kluwer Academic Publishers, Boston} } @UNPUBLISHED{Kearns88, author = {Michael Kearns}, title = {Thoughts on Hypothesis Boosting}, note = {(Unpublished)}, month = Dec, year = 1988 } @PHDTHESIS{Kearns89, author = {M. Kearns}, title = {The Computational Complexity of Machine Learning}, school = {Harvard University Center for Research in Computing Technology}, year = 1989, month = may, note = {Technical Report TR-13-89. Also published by MIT Press as an ACM Distinguished Dissertation.} } @INPROCEEDINGS{Kearns93, author = {M. Kearns}, title = {Efficient noise-tolerant learning from statistical queries}, booktitle = {Proc. 25th Annu. ACM Sympos. Theory Comput.}, year = 1993, pages = {392--401}, publisher = {ACM Press, New York, NY} } @ARTICLE{Kearns98, author = {M. Kearns}, title = {Efficient Noise-Tolerant Learning from Statistical Queries}, journal = JACM, year = 1998, volume = 45, pages = {983--1006}, number = 6 } @INPROCEEDINGS{KearnsLi88, author = {Kearns, M. and M. Li}, title = {Learning in the Presence of Malicious Errors}, booktitle = {Proceedings of the Twentieth Annual ACM Symposium on Theory of Computing}, year = 1988, pages = {267--280}, address = {Chicago, Illinois}, month = May, comment = {Studies pac learning in the presence of worst sort of errors.Submitted to SIAM J. Computing.} } @ARTICLE{KearnsLi93, author = {M. Kearns and M. Li}, title = {Learning in the presence of malicious errors}, journal = {SIAM J. Comput.}, year = 1993, volume = 22, pages = {807--837}, annote = {Also Harvard TR 03-87}, comment = {Studies pac learning in the presence of worst sort of errors. prev iously appeared in stoc'88.} } @INPROCEEDINGS{KearnsLiPiVa87, author = {Kearns, M. and M. Li and L. Pitt and L. G. Valiant}, title = {On the Learnability of Boolean Formulae}, booktitle = {Proceedings of the Nineteenth Annual ACM Symposium on Theory of Computing}, year = 1987, pages = {285--295}, address = {New York, New York}, month = May, comment = {To appear in JACM.} } @INPROCEEDINGS{KearnsLiPiVa87b, author = {Kearns, M. and M. Li and L. Pitt and L. G. Valiant}, title = {Recent Results on Boolean Concept Learning}, booktitle = {Proceedings of the Fourth International Workshop on Machine Learning}, year = 1987, pages = {337--352}, address = {University of California, Irvine}, month = Jun } @UNPUBLISHED{KearnsMa93, author = {Kearns, Michael and Mansour, Yishay}, title = {{DNF} formulae and decision trees are hard for statistical queries}, note = {Unpublished}, month = May, year = 1993 } @INPROCEEDINGS{KearnsMa98, author = {Michael Kearns and Yishay Mansour}, title = {A fast, bottom-up decision tree pruning algorithm with near-optimal generalization}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {269--277}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{KearnsMa99, author = {M. Kearns and Y. Mansour}, title = {On the boosting ability of top-down decision tree learning algorithms}, journal = {J. of Comput. Syst. Sci.}, year = 1999, volume = 58, pages = {109--128}, number = 1 } @INPROCEEDINGS{KearnsMaRoRuScSe94, author = {Kearns, M. and Y. Mansour and D. Ron and R. Rubinfeld and R. E. Schapire and L. Selly}, title = {On the Learnability of Discrete Distributions}, booktitle = {Proceedings of Twenty-sixth ACM Symposium on Theory of Computing}, year = 1994, pages = {273--282} } @INPROCEEDINGS{KearnsPi89, author = {Kearns, M. and L. Pitt}, title = {A Polynomial-time Algorithm for Learning $k$-variable Pattern Languages from Examples}, booktitle = {Proceedings of the Second Annual Workshop on Computational Learning Theory}, year = 1989, pages = {57--71}, address = {Santa Cruz, California}, month = Jul } @INPROCEEDINGS{KearnsRo97, author = {Michael Kearns and Dana Ron}, title = {Algorithmic stability and sanity-check bounds for leave-one-out cross-validation}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {152--162}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KearnsRo98, author = {Michael Kearns and Dana Ron}, title = {Testing problems with sub-learning sample complexity}, booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory}, year = 1998, pages = {268--279}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KearnsSc90b, author = {Kearns, M. and R. Schapire}, title = {Efficient Distribution-free Learning of Probabilistic Concepts}, booktitle = {Proceedings of COLT '90}, year = 1990, pages = 389, publisher = {Morgan Kaufmann}, note = {Abstract only}, tag = {TOC-display} } @ARTICLE{KearnsSc94, author = {Kearns, M. and R. Schapire}, title = {Efficient Distribution-free Learning of Probabilistic Concepts}, journal = JCSS, year = 1994, volume = 48, pages = {464-497} } @INPROCEEDINGS{KearnsScSe92, author = {M. J. Kearns and R. E. Schapire and L. M. Sellie}, title = {Toward efficient agnostic learning}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {341--352}, publisher = {ACM Press, New York, NY} } @ARTICLE{KearnsScSe94, author = {Michael J. Kearns and Robert E. Schapire and Linda M. Sellie}, title = {Toward efficient agnostic learning}, journal = {Machine Learning}, year = 1994, volume = 17, pages = {115--142}, number = {2/3}, annote = {Earlier version in COLT 1992}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{KearnsSe95, author = {Michael Kearns and H. Sebastian Seung}, title = {Learning from a population of hypotheses}, journal = {Machine Learning}, year = 1995, volume = 18, pages = {255--276}, number = {2/3}, annote = {Earlier version appeared in sixth COLT, 1993}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KearnsSi00, author = {Michael Kearns and Satinder Singh}, title = {Bias-Variance Error Bounds for Temporal Difference Updates}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {142--147}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{KearnsSi98, author = {Michael Kearns and Satinder Singh}, title = {Near-optimal reinforcement learning in polynomial time}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {260--268}, publisher = {Morgan Kaufmann, San Francisco, CA} } @TECHREPORT{KearnsVa88, author = {M. Kearns and L. G. Valiant}, title = {Learning Boolean Formulae or Finite Automata is as Hard as Factoring}, institution = {Harvard University Aiken Computation Laboratory}, year = 1988, number = {TR 14-88} } @INPROCEEDINGS{KearnsVa89, author = {M. Kearns and L. G. Valiant}, title = {Cryptographic limitations on learning {B}oolean formulae and finite automata}, booktitle = {Proc. of the 21st Symposium on Theory of Computing}, year = 1989, pages = {433--444}, publisher = {ACM Press, New York, NY}, comment = {To appear in J. ACM} } @UNPUBLISHED{KearnsVa92, author = {Michael Kearns and Umesh Vazirani}, title = {Topics in Learning Theory}, note = {(Prelinary draft)}, year = 1992 } @BOOK{KearnsVa94, title = {An Introduction to Computational Learning Theory}, publisher = {MIT Press}, year = 1994, author = {Michael J. Kearns and Umesh V. 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Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {370--383}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KobayashiInMa07, author = {Kobayashi, Nozomi and Inui, Kentaro and Matsumoto, Yuji}, title = {Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {1065--1074}, url = {http://www.aclweb.org/anthology/D/D07/D07-1114} } @INPROCEEDINGS{KobayashiYo94, author = {S. Kobayashi and T. Yokomori}, title = {Learning concatenations of locally testable languages from positive data}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, volume = 872, series = {Lecture Notes in Artificial Intelligence}, pages = {407--422}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KobayashiYo95, author = {Satoshi Kobayashi and Takashi Yokomori}, title = {On approximately identifying concept classes in the limit}, booktitle = {Proc. 6th Int. Workshop on Algorithmic Learning Theory}, year = 1995, volume = 997, series = {Lecture Notes in Artificial Intelligence}, pages = {298--312}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KobayashiYo97, author = {Satoshi Kobayashi and Takashi Yokomori}, title = {Identifiability of subspaces and homomorphic images of zero-reversible languages}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {48--61}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KoblerLi97, author = {Johannes K{\"o}bler and Wolfgang Lindner}, title = {Oracles in ${\Sigma}^p_2$ are sufficient for exact learning}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {277--290}, publisher = {Springer-Verlag} } @ARTICLE{Kocabas91, author = {Sakir Kocabas}, title = {Conflict Resolution as Discovery in Particle Physics}, journal = {Machine Learning}, year = 1991, volume = 6, pages = {277--309}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Kodratoff79, author = {Y. 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Sci.}, year = 1994, volume = 49, pages = {306--324}, number = 2 } @INPROCEEDINGS{Kramer01, author = {Stefan Kramer}, title = {Demand-Driven Construction of Structural Features in ILP}, booktitle = {Proceedings of ILP 2001}, year = 2001, editor = {Celine Rouveirol and Michele Sebag}, volume = {2157 of LNAI}, publisher = {Springer-Verlag} } @ARTICLE{Kramer62, author = {Kramer}, title = {A Note on the self-consistency definitions of generalization and inductive inference}, journal = {J. ACM}, year = 1962, pages = {280--281} } @INPROCEEDINGS{KramerBr07, author = {N. Kr\"{a}mer and M. Braun}, title = {Kernelizing {PLS}, degrees of freedom, and efficient model selection}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {441--448}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{KramerDeRa01, author = {S. Kramer and L. De Raedt}, title = {Feature Construction with Version Spaces for Biochemical Applications}, booktitle = {Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001)}, year = 2001 } @INPROCEEDINGS{KramerFr00, author = {S. Kramer and E. Frank}, title = {Bottom-Up propositionalization}, booktitle = {Proceedings of the ILP-2000 Work-In-Progress Track}, year = 2000, location = {Imperial College, London} } @INCOLLECTION{KramerLaFl01, author = {S. Kramer and N. Lavrac and P. Flach}, title = {Propositionalization Approaches to Relational Data Mining}, booktitle = {Relational Data Mining}, publisher = {Springer Verlag}, year = 2001, editor = {Dzeroski, S. and Lavrac, N.} } @INPROCEEDINGS{KrauseGu07, author = {A. Krause and C. Guestrin}, title = {Nonmyopic active learning of {Gaussian} processes: an exploration-exploitation approach}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {449--456}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{KrishnanLoVi95, author = {P. Krishnan and Philip M. Long and Jeffrey Scott Vitter}, title = {Learning to make rent-to-buy decisions with systems applications}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {322--330}, publisher = {Morgan Kaufmann} } @ARTICLE{KroghMiHa94, author = {A. Krogh and I. S. Mian and D. Haussler}, title = {A Hidden {M}arkov Model that finds genes in {\em E. coli} {DNA}}, journal = {Nucleic Acids Research}, year = 1994, volume = 22, pages = {4768--4778} } @INPROCEEDINGS{KropotovVe07, author = {D. Kropotov and D. 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Rivest}, title = {Learning Time-Varying Concepts}, booktitle = {Advances in Neural Information Processing Systems 3}, year = 1991, pages = {183--189}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{KuhPeRi91a, author = {T. Kuh and T. Petsche and R. Rivest}, title = {Mistake bounds of incremental learners when concepts drift with applications to feedforward networks}, booktitle = {NIPS 4}, year = 1991, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{KuhRi92, author = {T. P. Anthony Kuh and R. L. Rivest}, title = {Incrementally Learning Time-Varying Half-planes}, booktitle = {Advances in Neural Information Processing Systems 4}, year = 1992, pages = {920--927}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Kuhlmann00, author = {Christian Kuhlmann}, title = {Hardness Results for General Two-Layer Neural Networks}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {275--285}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{Kuhlmann99, author = {Christian Kuhlmann}, title = {On Teaching and Learning Intersection-Closed Concept Classes}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {168--182}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KuhlmannM07, author = {Kuhlmann, Marco and M\"ohl, Mathias}, title = {Mildly Context-Sensitive Dependency Languages}, booktitle = ACL, year = 2007, pages = {160--167}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1021} } @TECHREPORT{Kukich91, author = {K. 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Tsitsiklis}, title = {Active Learning Using Arbitrary Binary Valued Queries}, journal = {Machine Learning}, year = 1993, volume = 11, pages = {23--35}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{KulkarniZe93, author = {S. Kulkarni and O. Zeitouni}, title = {On probably correct classification of concepts}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {111--116}, publisher = {ACM Press, New York, NY} } @ARTICLE{Kullback68, author = {Kullback, S.}, title = {Probability Densities with Given Marginals}, journal = {Annals of Mathematical Statistics}, year = 1968, volume = 39, pages = {1236--1243}, number = 4, comment = {Extension of Ireland/Kullback results to continuous densities.} } @ARTICLE{Kullback71, author = {Kullback, S.}, title = {Marginal Homogeneity of Multidimensional Contingency Tables}, journal = {Annals of Mathematical Statistics}, year = 1971, volume = 42, pages = {594--606}, number = 2, comment = {Uses maximum entropy solution to derive minimum discrimination information statistic.} } @INPROCEEDINGS{Kulp96, author = {Kulp, D. and Haussler, D. and Reese, M.G. and Eeckman, F.H.}, title = {A Generalized Hidden {M}arkov Model for the Recognition of Human Genes in {DNA}}, booktitle = {ISMB, Conference on Intelligent Systems in Molecular Biology}, year = 1996, pages = {134--142}, month = Jun } @INPROCEEDINGS{KumarMiYi03, author = {P. Kumar and J. S. B. Mitchell and E. A. Yildirim}, title = {Fast smallest enclosing hypersphere computation}, booktitle = {ALENEX}, year = 2003, pages = {to appear} } @INPROCEEDINGS{KumarOcMa07, author = {Kumar, Shankar and Och, Franz J. and Macherey, Wolfgang}, title = {Improving Word Alignment with Bridge Languages}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {42--50}, url = {http://www.aclweb.org/anthology/D/D07/D07-1005} } @INPROCEEDINGS{KumarSi99, author = {R. Kumar and D. Sivakumar}, title = {Roundness Estimation via Random Sampling}, booktitle = SODA, year = 1999, pages = {603--612} } @INPROCEEDINGS{Kummer94, author = {M. Kummer}, title = {The strength of noninclusions for teams of finite learners}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {268--277}, publisher = {ACM Press, New York, NY} } @ARTICLE{Kummer95, author = {Martin Kummer}, title = {A learning theoretic characterization of classes of recursive functions}, journal = {Information Processing Letters}, year = 1995, volume = 54, pages = {205--211} } @INPROCEEDINGS{KummerOt96, author = {Martin Kummer and Matthias Ott}, title = {Learning branches and learning to win closed games}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {280--291}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KummerSt94, author = {M. Kummer and F. Stephan}, title = {Inclusion problems in parallel learning and games}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {287--298}, publisher = {ACM Press, New York, NY} } @ARTICLE{KummerSt96, author = {Martin Kummer and Frank Stephan}, title = {On the structure of the Degrees of Inferability}, journal = {J. of Comput. Syst. Sci.}, year = 1996, volume = 52, pages = {214--238}, number = 2, note = {Earlier version in Sixth Annual Conference on Computational Learning Theory, 1993} } @ARTICLE{Kupiec92, author = {J. Kupiec}, title = {Robust part-of-speech tagging using a hidden {M}arkov model}, journal = CSL, year = 1992, volume = 6, pages = {225--242} } @INPROCEEDINGS{Kupiec93, author = {J. Kupiec}, title = {An algorithm for finding noun phrase correspondences in bilingual corpora}, booktitle = ACL, year = 1993 } @INPROCEEDINGS{Kupiec93a, author = {Julian Kupiec}, title = {{MURAX}: A robust linguistic approach for question answering using an on-line encyclopedia}, booktitle = SIGIR, year = 1993, pages = {181--190} } @INPROCEEDINGS{Kurita93, author = {T. Kurita}, title = {Iterative weighted least squares algorithms for neural networks classifiers}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {77--86}, publisher = {Springer-Verlag} } @INPROCEEDINGS{KurtzRo88, author = {S. A. Kurtz and J. S. Royer}, title = {Prudence in Language Learning}, booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory}, year = 1988, pages = {143--156}, publisher = {Morgan Kaufmann, Inc.} } @INPROCEEDINGS{KurtzSm89, author = {S. A. Kurtz and C. H. Smith}, title = {On the role of search for learning}, booktitle = {Proc. 2nd Annu. Workshop on Comput. Learning Theory}, year = 1989, pages = {303--311}, address = {San Mateo, CA}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Kushilevitz96, author = {Eyal Kushilevitz}, title = {A simple algorithm for learning {O}(log n)-term {DNF}}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {266--269}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{KushilevitzMa91, author = {E. Kushilevitz and Y. Mansour}, title = {Learning decision trees using the Fourier sprectrum}, booktitle = {Proc. 23rd Ann. IEEE Symp. on Foundations of Computer Science}, year = 1991, pages = {455--464} } @ARTICLE{KushilevitzMa93, author = {E. Kushilevitz and Y. Mansour}, title = {Learning Decision Trees using the Fourier Spectrum}, journal = SIJC, year = 1993, volume = 22, pages = {1331--1348}, number = 6, note = {Earlier version appeared in Proc. 23rd Ann. IEEE Symp. on Foundations of Computer Science, 1991} } @ARTICLE{KushilevitzOsRa00, author = {E. Kushilevitz and R. Ostrovsky and Y. Rabani}, title = {Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces}, journal = SICOMP, year = 2000, volume = 2, pages = {457--474}, number = 30, url = {http://epubs.siam.org/sam-bin/dbq/article/34717} } @INPROCEEDINGS{KushilevitzOsRa98, author = {E. Kushilevitz and R. Ostrovsky and Y. Rabani}, title = {Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces}, booktitle = STOC, year = 1998, pages = {614--623} } @INPROCEEDINGS{KuzminWa07, author = {D. Kuzmin and M. Warmuth}, title = {Online kernel {PCA} with entropic matrix updates}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {465--472}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{Kwek97, author = {Stephen Kwek}, title = {Learning disjunctions of features}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {401--415}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Kwek99, author = {Stephen S. Kwek}, title = {An apprentice learning model}, booktitle = {Proc. 12th Annu. Conf. on Comput. 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Koller}, title = {Learning a meta-level prior for feature relevance from multiple related tasks}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {489--496}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{LECBB07, author = {H. Larochelle and D. Erhan and A. Courville and J. Bergstra and Y. Bengio}, title = {An empirical evaluation of deep architectures on problems with many factors of variation}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {473--480}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{LGPPS90, author = {Lenat, D. B. and R. V. Guha and K. Pittman and D. Pratt and M. 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Learning Theory}, year = 1992, pages = {45--52}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Lang95, author = {Ken Lang}, title = {News{W}eeder: learning to filter netnews}, booktitle = ICML, year = 1995, pages = {331--339} } @INPROCEEDINGS{Lang95a, author = {Kevin J. Lang}, title = {Hill climbing beats genetic search on a {B}oolean circuit problem of {K}oza's}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {340--343}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{LangPePr98, author = {K. J. Lang and B. A. Pearlmutter and R. A. Price}, title = {Results of the {A}bbadingo one {DFA} learning competition and a new evidence-driven state merging algorithm}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {1--12}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Lange90, author = {S. Lange}, title = {A Note on Polynomial-Time Inference of $k$-Variable Pattern Language}, booktitle = {Nonmonotonic and Inductive Logic, 1st International Workshop, Karlsruhe, Germany}, year = 1990, volume = 543, series = {Lecture Notes in Artificial Intelligence}, pages = {178--183}, publisher = {Springer Verlag} } @INPROCEEDINGS{Lange94, author = {S. Lange}, title = {The representation of recursive languages and its impact on the efficiency of learning}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. 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Zeugmann}, title = {Types of monotonic language learning and their characterization}, booktitle = {Proc. 5th Annu. Workshop on Comput. Learning Theory}, year = 1992, pages = {377--390}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{LangeZe92c, author = {S. Lange and T. Zeugmann}, title = {A Unifying Approach to Monotonic Language Learning on Informant}, booktitle = {Proc. 3rd Internat. Workshop on Analogical and Inductive Inference}, year = 1992, volume = 642, series = {Lecture Notes in Artificial Intelligence}, pages = {244--259}, publisher = {Springer--Verlag} } @INPROCEEDINGS{LangeZe93, author = {S. Lange and T. Zeugmann}, title = {Language Learning with a Bounded Number of Mind Changes}, booktitle = {Proc. 10th Annual Symposium on Theoretical Aspects of Computer Science}, year = 1993, volume = 665, series = {Lecture Notes in Computer Science}, pages = {682--691}, publisher = {Springer--Verlag} } @INPROCEEDINGS{LangeZe93a, author = {S. Lange and T. Zeugmann}, title = {Language learning in dependence on the space of hypotheses}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {127--136}, publisher = {ACM Press, New York, NY} } @ARTICLE{LangeZe93b, author = {S. Lange and T. Zeugmann}, title = {Learning Recursive Languages With a Bounded Number of Mind Changes}, journal = {Internat. Journal of Foundations of Computer Science}, year = 1993, volume = 4, pages = {157--178} } @TECHREPORT{LangeZe93c, author = {S. Lange and T. Zeugmann}, title = {The Learnability of Recursive Languages in Dependence on the Hypothesis Space}, institution = {GOSLER-Report, FB Mathematik und Informatik, TH Lepzig}, year = 1993, number = {20/93} } @INPROCEEDINGS{LangeZe93d, author = {S. Lange and T. Zeugmann}, title = {Monotonic Versus Non--monotonic Language Learning}, booktitle = {Proc. 2nd Internat. 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Long}, title = {The Complexity of Learning According to Two Models of a Drifting Environment}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {337--354}, number = 3, comment = {first in 11th COLT '98}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{LongTa98, author = {Philip M. Long and Lei Tan}, title = {{PAC} learning axis-aligned rectangles with respect to product distributions from multiple-instance examples}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {7--21}, note = {Earlier version in COLT96}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{LongWa93, author = {P. M. Long and M. K. Warmuth}, title = {Composite Geometric Concepts and Polynomial Predictability}, journal = {Inform. Comput.}, year = 1993, note = {To appear}, annote = {Earlier version in COLT90} } @INPROCEEDINGS{Longtin94, author = {M. J. 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Harabagiu and S.~Maiorano}, title = {COGEX: A Logic Prover for Question Answering}, year = 2003, booktitle = {Proceedings of HLT-NAACL 2003} } @INPROCEEDINGS{MDTK07, author = {Morin, Emmanuel and Daille, B\'eatrice and Takeuchi, Koichi and Kageura, Kyo}, title = {Bilingual Terminology Mining - Using Brain, not brawn comparable corpora}, booktitle = ACL, year = 2007, pages = {664--671}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1084} } @INPROCEEDINGS{MDWD07, author = {Mutton, Andrew and Dras, Mark and Wan, Stephen and Dale, Robert}, title = {GLEU: Automatic Evaluation of Sentence-Level Fluency}, booktitle = ACL, year = 2007, pages = {344--351}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1044} } @INPROCEEDINGS{MGHZ07, author = {Mohammad, Saif and Gurevych, Iryna and Hirst, Graeme and Zesch, Torsten}, title = {Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {571--580}, url = {http://www.aclweb.org/anthology/D/D07/D07-1060} } @INPROCEEDINGS{MHNWR07, author = {McDonald, Ryan and Hannan, Kerry and Neylon, Tyler and Wells, Mike and Reynar, Jeff}, title = {Structured Models for Fine-to-Coarse Sentiment Analysis}, booktitle = ACL, year = 2007, pages = {432--439}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1055} } @INPROCEEDINGS{MIUN93, author = {Yuji Matsumoto and Hiroyuki Ishimoto and Takehito Utsuro and Makoto Nagao}, title = {Structural matching of parallel texts}, booktitle = ACL, year = 1993 } @InProceedings{MLCT01, author = {Meng, H. and Lo, W. and Chen, B. and Tang, K.}, title = {Generating Phonetic Cognates to Handle Named Entities in English-Chinese Cross-Langauge Spoken Document Retreival}, booktitle = {Proceedings of the Automatic Speech Recognition and Understanding Workshop}, year = 2001, pages = {389--397} } @INPROCEEDINGS{MLTK07, author = {Y. 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Shavlik}, title = {Creating Advice-Taking Reinforcement Learners}, journal = {Machine Learning}, year = 1996, volume = 22, pages = {251--281}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Maes90, author = {Maes, Pattie}, title = {How to do the Right Thing}, journal = {Connection Science Journal, Special Issue on Hybrid Systems}, year = 1990, volume = 1 } @INPROCEEDINGS{Magen02, author = {A.~Magen}, title = {Dimensionality Reductions That Preserve Volumes and Distance to Affine Spaces, and Their Algorithmic Applications}, booktitle = {RANDOM}, year = 2002, pages = {239--253} } @INPROCEEDINGS{Magerman95, author = {Magerman, D. 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Conf. on Comput. Learning Theory}, year = 1999, pages = {183--192}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{MansourMc00, author = {Yishay Mansour and David Mc{A}llester}, title = {Boosting Using Branching Programs}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {220--224}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{MansourMc00a, author = {Yishay Mansour and David Mc{A}llester}, title = {Generalization Bounds for Decision Trees}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {69--80}, publisher = {Morgan Kaufmann, San Francisco} } @ARTICLE{MansourSa00, author = {Yishay Mansour and Sigal Sahar}, title = {Implementation Issues in the Fourier Transform Algorithm}, journal = {Machine Learning}, year = 2000, volume = 40, pages = {5--33}, number = 1, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{MansourSc97, author = {Yishay Mansour and Mariano Schain}, title = {Learning with Maximum-Entropy Distributions}, booktitle = {Proc. 10th Annu. Conf. on Comput. Learning Theory}, year = 1997, pages = {201--210}, publisher = {ACM Press, New York, NY} } @ARTICLE{Mantaras91, author = {R. L{\'{o}}pez De M{\'{a}}ntaras}, title = {A Distance-Based Attribute Selection Measure for Decision Tree Induction}, journal = {Machine Learning}, year = 1991, volume = 6, pages = {81--92}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{MarciniakSt05, author = {Marciniak, T. and M. 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Bartlett and Jonathan Baxter}, title = {Improved Generalization Through Explicit Optimization of Margins}, journal = {Machine Learning}, year = 2000, volume = 38, pages = {243--255}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{MataMi97, author = {C. Mata and J. S.B. Mitchell}, title = {A new algorithm for computing the shortest paths in planar subdivisions}, booktitle = SOCG, year = 1997, pages = {264--273} } @TECHREPORT{Matan95, author = {Ofer Matan}, title = {On-Site Learning}, institution = {Stanford University}, year = 1995, number = {LOGIC-95-4}, department = {Logic Group} } @MASTERSTHESIS{Matar93, author = {Matar, S.}, title = {Learning with Minimal Number of Queries}, school = {University of Albert, Canada}, year = 1993 } @INPROCEEDINGS{Mataric94, author = {Maja J. 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Matou{\v s}ek}, url = {http://kam.mff.cuni.cz/~matousek/dg.html} } @ARTICLE{Matouv90, author = {J. Matou{\v s}ek}, title = {Construction of $\epsilon$-nets}, journal = DCG, year = 1990, volume = 5, pages = {427--448} } @INPROCEEDINGS{Matouv91, author = {J. Matou{\v s}ek}, title = {Approximations and optimal geometric divide-and-conquer}, booktitle = STOC, year = 1991, pages = {505--511}, note = {Also to appear in {\em J. Comput. Syst. Sci.}}, keywords = {approximations, VC-dimension, shatter function, derandomization , cutting, partition} } @INCOLLECTION{Matouv91a, author = {J. Matou{\v s}ek}, title = {Computing the center of planar point sets}, booktitle = {Computational Geometry: Papers from the DIMACS Special Year}, publisher = {American Mathematical Society}, year = 1991, editor = {J. E. Goodman and R. Pollack and W. Steiger}, pages = {221--230}, address = {Providence}, keywords = {centerpoint, parametric search, cutting, k-level} } @ARTICLE{Matouv92, author = {J. Matou{\v s}ek}, title = {Efficient partition trees}, journal = DCG, year = 1992, volume = 8, pages = {315--334}, keywords = {simplex range searching, crossing number, multilevel data structure, approximations} } @INCOLLECTION{Matouv93, author = {J. Matou{\v s}ek}, title = {Epsilon-Nets and Computational Geometry}, booktitle = {New Trends in Discrete and Computational Geometry}, publisher = {Springer-Verlag}, year = 1993, editor = {J. Pach}, volume = 10, series = {Algorithms and Combinatorics}, pages = {69--89}, address = {Heidelberg} } @ARTICLE{Matouv93a, author = {J. Matou{\v s}ek}, title = {Range searching with efficient hierarchical cuttings}, journal = DCG, year = 1993, volume = 10, pages = {157--182}, number = 2 } @ARTICLE{Matouv95, author = {J. Matou{\v s}ek}, title = {On Geometric Optimization with Few Violated Constraints}, journal = DCG, year = 1995, volume = 14, pages = {365--384} } @ARTICLE{Matouv95a, author = {J. 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Moore}, title = {Problems in Logical Form}, booktitle = {Natural Language Processing}, publisher = {Kaufmann}, year = 1986, editor = {B. J. Grosz and K. {Sparck Jones} and B. L. Webber}, address = {Los Altos, CA}, keywords = {ling, n-l-p} } @ARTICLE{MooreAt93, author = {Andrew W. Moore and Christopher G. Atkeson}, title = {Prioritized Sweeping: Reinforcement Learning With Less Data and Less Time}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {103--130}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{MooreAt95, author = {Andrew W. Moore and Christopher G. 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Intell.}, year = 1994, volume = 6, pages = {121--130}, number = 1, note = {Special issue for AII '92} } @ARTICLE{Muggleton95, author = {Muggleton, S.}, title = {Inverse Entailment and {P}rogol}, journal = {New Generation Computing, Special issue on Inductive Logic Programming}, year = 1995, volume = 13, pages = {245-286}, number = {3-4}, publisher = {Ohmsha}, url = {citeseer.nj.nec.com/muggleton95inverse.html} } @INPROCEEDINGS{Muggleton95a, author = {Muggleton, S.}, title = {Stochastic Logic Programs}, booktitle = {Proceedings of the 5th International Workshop on Inductive Logic Programming}, year = 1995, editor = {De Raedt, L.}, pages = 29, publisher = {Department of Computer Science, Katholieke Universiteit Leuven}, url = {citeseer.nj.nec.com/muggleton96stochastic.html} } @ARTICLE{MuggletonDR94, author = {Muggleton, S. and De Raedt, L. }, title = {Inductive Logic Programming: Theory and Methods}, journal = {Journal of Logic Programming}, year = 1994, volume = 20, pages = {629--679} } @INPROCEEDINGS{Mukouchi92, author = {Y. Mukouchi}, title = {Characterization of finite identification}, booktitle = {Proc. 3rd International Workshop on Analogical and Inductive Inference}, year = 1992, volume = 642, series = {Lecture Notes in Artificial Intelligence}, pages = {260--267} } @INPROCEEDINGS{Mukouchi92a, author = {Y. Mukouchi}, title = {Characterization of pattern languages}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {93--104}, publisher = {IOS Press} } @INPROCEEDINGS{Mukouchi93, author = {Y. Mukouchi}, title = {Inductive inference with bounded mind changes}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {125--134}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Mukouchi94, author = {Y. Mukouchi}, title = {Induction inference of an approximate concept from positive data}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, volume = 872, series = {Lecture Notes in Artificial Intelligence}, pages = {484--499}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Mukouchi97, author = {Yasuhito Mukouchi}, title = {Inferring a system from examples with time passage}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {197--211}, publisher = {Springer-Verlag} } @INPROCEEDINGS{MukouchiAr93, author = {Y. Mukouchi and S. Arikawa}, title = {Inductive inference machines that can refute hypothesis spaces}, booktitle = {Proc. 4th Int. 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Sci.}, year = 1995, volume = 137, pages = {53--84}, number = 1, note = {Special Issue for ALT '93} } @INPROCEEDINGS{MukouchiYaSa98, author = {Yasuhito Mukouchi and Ikuyo Yamue and Masako Sato}, title = {Inferring a Rewriting System from Examples}, booktitle = {Proc. 1st International Conference on Discovery Science}, year = 1998, volume = 1532, series = {Lecture Notes in Artificial Intelligence}, pages = {93--104}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Muller07, author = {M\"uller, Christoph}, title = {Resolving It, This, and That in Unrestricted Multi-Party Dialog}, booktitle = ACL, year = 2007, pages = {816--823}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1103} } @ARTICLE{Muller89, author = {John H. 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Smorodinsky}, title = {Lenses in arrangements of pseudo-circles and their applications}, booktitle = SOCG, year = 2002, pages = {123--132}, url = {http://www.math.tau.ac.il/~shakhar/lenses.socg02.ps} } @INPROCEEDINGS{NSNP07, author = {Nguyen, Le-Minh and Shimazu, Akira and Nguyen, Phuong-Thai and Phan, Xuan-Hieu}, title = {A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {1149--1155}, url = {http://www.aclweb.org/anthology/D/D07/D07-1126} } @INPROCEEDINGS{NUHA98, author = {K. Niijima and H. Uchida and E. Hirowatari and S. Arikawa}, title = {Discovery of Differential Equations from Numerical Data}, booktitle = {Proc. 1st International Conference on Discovery Science}, year = 1998, volume = 1532, series = {Lecture Notes in Artificial Intelligence}, pages = {364--374}, publisher = {Springer-Verlag} } @article{NaBa97, author = "G. Navarro and R. 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Hayashi}, title = {Automated {P}arts {L}ayout {P}lanning in {G}arment {I}ndustry {B}y {U}sing {G}roup {T}echnology}, booktitle = {Computers in the {W}orld of {T}extiles}, year = 1984, pages = {297-310}, organization = {Textile Institute Annual World Conference} } @ARTICLE{Nakamura00, author = {Atsuyoshi Nakamura}, title = {Query learning of bounded-width {OBDD}s}, journal = {Theoret. Comput. Sci.}, year = 2000, volume = 241, pages = {83--114}, number = {1-2}, note = {Special issue for ALT '96} } @INPROCEEDINGS{Nakamura97, author = {Atsuyoshi Nakamura}, title = {An efficient exact learning algorithm for ordered binary decision diagrams}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {307--322}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Nakamura99, author = {Atsuyoshi Nakamura}, title = {Learning specialist decision lists}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {215--225}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{NakamuraAb93, author = {A. Nakamura and N. Abe}, title = {Exact learning of linear combinations of monotone terms from function value queries}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, pages = {300--313}, publisher = {Springer-Verlag} } @ARTICLE{NakamuraAb95, author = {Atsuyoshi Nakamura and Naoki Abe}, title = {Exact learning of linear combinations of monotone terms from function value queries}, journal = {Theoret. Comput. Sci.}, year = 1995, volume = 137, pages = {159--176}, number = 1, note = {Special Issue for ALT '93} } @INPROCEEDINGS{NakamuraAb95a, author = {Atsuyoshi Nakamura and Naoki Abe}, title = {On-line learning of binary and $n$-ary relations over multi-dimensional clusters}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {214--221}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{NakamuraAb98, author = {Atsuyoshi Nakamura and Naoki Abe}, title = {Collaborative filtering using weighted majority prediction algorithms}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {395--403}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{NakamuraAbTa94, author = {A. Nakamura and N. Abe and J. Takeuchi}, title = {Efficient distribution-free population learning of simple concepts}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, pages = {500--515}, publisher = {Springer-Verlag} } @INPROCEEDINGS{NakamuraMi95, author = {Atsuyoshi Nakamura and Shinji Miura}, title = {Learning sparse linear combinations of basis functions over a finite domain}, booktitle = {Proc. 6th Int. 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Nelson}, title = {Site report for the {Text REtrieval Conference} by {ConQuest Software Inc.}}, booktitle = {The First Text Retrieval Conference (TREC-1)}, publisher = {NIST SP 500-207}, year = 1993, editor = {D. K. Harman}, pages = {287--296} } @INPROCEEDINGS{NelsonCo07, author = {B. Nelson and I. Cohen}, title = {Revisiting probabilistic models for clustering with constraints}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {673--680}, publisher = {Omnipress}, location = {Corvallis, OR} } @ARTICLE{NemirovskiRoTe99, author = {A.~Nemirovski and C.~Roos and T.~Terlaky}, title = {On maximization of quadratic forms over intersection of ellipsoids with common center}, journal = {Mathematical Programming}, year = 1999, volume = 86, pages = {463--473}, number = 3, series = {A} } @ARTICLE{Neri00, author = {Filippo Neri}, title = {Multi Level Knowledge in Modeling Qualitative Physics Learning}, journal = {Machine Learning}, year = 2000, volume = 38, pages = {181--211}, number = {1/2}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Nessel98, author = {Jochen Nessel}, title = {Birds can fly...}, booktitle = {Proc. 11th Annu. Conf. on Comput. 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TR 1530 in 1989} } @MISC{Pitt90, author = {Pitt, Leonard}, title = {Recent Results in Computational Learning Theory}, year = 1990 } @ARTICLE{Pitt90a, author = {Leonard Pitt}, title = {Introduction: Special Issue on Computational Learning Theory}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {117--120}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Pitt93, author = {Leonard Pitt and Manfred K. 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Girosi}, title = {Networks and the Best Approximation Property}, institution = {MIT Artificial Intelligence Laboratory}, year = 1989, number = {AIM1164}, month = oct } @TECHREPORT{PoggioGi89a, author = {Poggio, Tomaso and Federico Girosi}, title = {A Theory of Networks for Approximation and Learning}, institution = {MIT Artificial Intelligence Laboratory}, year = 1989, number = {AIM1140}, month = {Jul}, tag = {TOC-display} } @ARTICLE{PoggioGi89b, author = {T. Poggio and F. Girosi}, title = {Representation Propoerties of Networks: Kolmogorov's Theorm Is Irrelevant}, journal = {Neural Computation}, year = 1989, volume = 1, pages = {465--469} } @TECHREPORT{PoggioGi90, author = {T. Poggio and F. Girosi}, title = {Extensions of a Theory of Networks for Approximation and Learning: dimensionality and reduction and clustering}, institution = {MIT Artificial Intelligence Laboratory}, year = 1990, number = {AIM1167}, month = apr } @ARTICLE{PoggioGi90a, author = {T. Poggio and F. 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P{\"o}lt}, title = {Improved Sample Size Bounds for {PAB}-decisions}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {229--239}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @ARTICLE{Pomerleau94, author = {Dean A. Pomerleau}, title = {Neural Network-Based Vision for Precise Control of a Walking Robot}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {125--135}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Pomerleau95, author = {Dean A. 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Popescu and O. Etzioni and H. Kautz}, title = {Towards a Theory of Natural Language Interfaces to Databases}, booktitle = {Proceedings of the International Conference on Intelligent User Interfaces (IUI)}, year = 2007, pages = {678--687}, } @TECHREPORT{Porat87, author = {S. Porat}, title = {Stability and Looping in Connectionist Models with Assymmetric Weights}, institution = {University of Rochester Computer Science Department}, year = 1987, number = {TR 210}, month = mar, comment = {Show that determining whether a network stabilizes is NP-hard, under both synchronous and fair asynchronous updating rules.} } @ARTICLE{PoratFe91, author = {Sara Porat and Jerome A. Feldman}, title = {Learning Automata from Ordered Examples}, journal = {Machine Learning}, year = 1991, volume = 7, pages = {109--138}, annote = {Earlier version in COLT88}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{PorterKi86, author = {Bruce W. Porter and Dennis F. Kibler}, title = {Experimental Goal Regression: {A} Method for Learning Problem-Solving Heuristics}, journal = {Machine Learning}, year = 1986, volume = 1, pages = {249--286}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{PosnerKu93, author = {S. E. Posner and S. R. Kulkarni}, title = {On-line learning of functions of bounded variation under various sampling schemes}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {439--445}, publisher = {ACM Press, New York, NY} } @INCOLLECTION{PosthoffSc95, author = {Christian Posthoff and Michael Schlosser}, title = {Optimal Strategies -- Learning from Examples -- Boolean Equations}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {363--390} } @INPROCEEDINGS{Powell87, author = {M. J. D. Powell}, title = {Radial Basis Functions for Multivariable Interpolation: {A} Review}, booktitle = {Algorithms for Approximation}, year = 1987, pages = {143--167}, address = {Oxford}, publisher = {Clarendon Press}, comment = {Studies carefully conditions for nonsingularity of matrix needed for interpolation} } @INBOOK{Pratt94, chapter = 19, pages = {523--560}, title = {Experiments on the transfer of knowledge between neural networks}, publisher = {MIT Press}, year = 1994, author = {Lorien Y. Pratt}, volume = {I: Constraints and Prospects}, booktitle = {Computational Learning Theory and Natural Learning Systems} } @INPROCEEDINGS{PrecupSu97, author = {Doina Precup and Richard S. Sutton}, title = {Exponentiated gradient methods for reinforcement learning}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {272--277}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{PrecupUt98, author = {Doina Precup and Paul E. Utgoff}, title = {Classification using {$\Phi$}-machines and constructive function approximation}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {439--444}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{PreissBrKo07, author = {Preiss, Judita and Briscoe, Ted and Korhonen, Anna}, title = {A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora}, booktitle = ACL, year = 2007, pages = {912--919}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1115} } @BOOK{PreparataSh85, title = {Computational Geometry: An Introduction}, publisher = {Springer-Verlag}, year = 1985, author = {F. P. Preparata and M. I. Shamos}, address = {New York, NY}, comments = {corrected and expanded second printing, 1988}, keywords = {book} } @ARTICLE{PreparataTa92, author = {F. P. Preparata and R. 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Schapire}, title = {Diversity-Based Inference of Finite Automata}, booktitle = {Proceeding of the Twenty-Eighth Annual Symposium on Foundations of Computer Science}, year = 1987, pages = {78--87}, address = {Los Angeles, California}, month = Oct } @INPROCEEDINGS{RivestSc87b, author = {R. L. Rivest and R. E. Schapire}, title = {A New Approach to Unsupervised Learning in Deterministic Environments}, booktitle = {Proc. of the 4th International Workshop on Machine Learning}, year = 1987, pages = {364--375}, address = {San Mateo, CA}, month = jun, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{RivestSc89, author = {Ronald L. Rivest and Robert E. Schapire}, title = {Inference of Finite Automata using Homing Sequences}, booktitle = {Proceedings of the Twenty-First Annual ACM Symposium on Theory of Computing}, year = 1989, pages = {411-420}, address = {Seattle, Washington}, month = May, tag = {TOC-display} } @ARTICLE{RivestSc93, author = {R. L. Rivest and R. E. Schapire}, title = {Inference of Finite Automata using Homing Sequences}, journal = {Inform. Comput.}, year = 1993, volume = 103, pages = {299--347}, number = 2, month = apr, annote = {Earlier version in FOCS89} } @ARTICLE{RivestShAd78, author = {R. L. Rivest and A. Shamir and L. Adleman}, title = {A method for obtaining digital signatures and public key cryptosytems}, journal = {Commun. ACM}, year = 1978, volume = 21, pages = {120--126}, number = 2 } @INPROCEEDINGS{RivestSl88a, author = {Rivest, Ronald L. and Robert Sloan}, title = {A New Model for Inductive Inference}, booktitle = {Proceedings of the Second Conference on Theoretical Aspects of Reasoning about Knowledge}, year = 1988, editor = {Moshe Vardi}, pages = {13--27}, month = Mar, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @INPROCEEDINGS{RivestSl88b, author = {Ronald L. 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Rivest and Yiqun L. Yin}, title = {Being taught can be faster than asking questions}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {144--151}, publisher = {ACM Press, New York, NY} } @ARTICLE{Rivlin79, author = {T. J. Rivlin}, title = {Approximating by circles}, journal = {Computing}, year = 1979, volume = 21, pages = {93--104} } @ARTICLE{Robbins52, author = {H. Robbins}, title = {Some aspects of the sequential design of experiments}, journal = {Bull. Amer. Math. Soc.}, year = 1952, volume = 55, pages = {527--535} } @ARTICLE{RobertsonRi88, author = {George G. Robertson and Rick L. 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San Diego}, year = 1985, number = {ICS Report 8506}, month = Sep, note = {To appear in {\sl Parallel Distributed Processing: Explorations in the Microstructure of Cognition}, Vol. 1, edited by Rumelhart and McClelland (MIT Press)}, comment = {Introduces `generalized delta rule' for back-propagating information in a network of deterministic sigmoid (logistic) rules.} } @INBOOK{RumelhartHiWi86, pages = {318--364}, title = {Learning Internal Representations by Error Propagation}, publisher = {MIT Press}, year = 1986, editor = {D.E.Rumelhart and J.L. McClelland}, author = {D.E. Rumelhart and G.E. Hinton and R.J. Williams}, address = {Cambridge, MA}, booktitle = {Parallel Distributed Processing} } @ARTICLE{RumelhartHiWi86a, author = {D. E. Rumelhart and G. E. Hinton and R. J. 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Williams and P. Aarseth}, title = {Using Predicate-Argument Structures for Information Extraction}, booktitle = {Proceedings of ACL 2003}, year = 2003, pages = {8--15} } @INPROCEEDINGS{SJLL00, author = {S. Saltenis and C. S. Jensen and S. Leutenegger and M. Lopez}, title = {Indexing the Positions of Continuously Moving Objects}, booktitle = {ACM SIGMOD Int.\ Conf.\ on Manag.\ of Data}, year = 2000, pages = {331--342}, url = {http://www.cs.auc.dk/research/DP/tdb/TimeCenter/TimeCenterPublications/TR-44.ps.gz} } @ARTICLE{SJLS00, author = {Satinder Singh and Tommi Jaakkola and Michael L. Littman and Csaba Szepesv{\'a}ri}, title = {Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms}, journal = {Machine Learning}, year = 2000, volume = 38, pages = {287--308}, number = 3, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{SJSF07, author = {X. Sun and D. Janzing and B. Sch\"{o}lkopf and K. Fukumizu}, title = {A kernel-based causal learning algorithm}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {855--862}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{SKRK07, author = {Schneider, Gerold and Kaljurand, Kaarel and Rinaldi, Fabio and Kuhn, Tobias}, title = {{Pro3Gres} Parser in the {CoNLL} Domain Adaptation Shared Task}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {1161--1165}, url = {http://www.aclweb.org/anthology/D/D07/D07-1128} } @INPROCEEDINGS{SLCHG97, author = {M. F. Sakr and S. P. Levitan and D. M. Chiarulli and B. G. Horne and C. L. Giles}, title = {Predicting multiprocessor memory access patterns with learning models}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {305--312}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{SLCZXLL07, author = {Sun, Guihua and Liu, Xiaohua and Cong, Gao and Zhou, Ming and Xiong, Zhongyang and Lee, John and Lin, Chin-Yew}, title = {Detecting Erroneous Sentences using Automatically Mined Sequential Patterns}, booktitle = ACL, year = 2007, pages = {81--88}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1011} } @inproceedings{SOJN08, address = {Honolulu, Hawaii}, author = {Snow, Rion and O'Connor, Brendan and Jurafsky, Daniel and Ng, Andrew }, booktitle = {Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing}, citeulike-article-id =3924580, keywords = {annotations, natural-language-processing, user-contributed-metadata}, month = {October}, pages = {254--263}, posted-at = {2009-01-22 17:29:11}, priority = 3, publisher = {Association for Computational Linguistics}, title = {Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks}, url = {http://www.aclweb.org/anthology-new/D/D08/D08-1027.bib}, year = 2008 } @INPROCEEDINGS{SPJN07, author = {Snow, Rion and Prakash, Sushant and Jurafsky, Daniel and Ng, Andrew Y.}, title = {Learning to Merge Word Senses}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {1005--1014}, url = {http://www.aclweb.org/anthology/D/D07/D07-1107} } @INPROCEEDINGS{SSGB07, author = {L. Song and A. Smola and A. Gretton and K. Borgwardt}, title = {A dependence maximization view of clustering}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {815--822}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{SSGBB07, author = {L. Song and A. Smola and A. Gretton and K. Borgwardt and J. Bedo}, title = {Supervised feature selection via dependence estimation}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {823--830}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{STDC04, author = "I. Szpektor and H. Tanev and I. Dagan and B. Coppola", title = "Scaling web-based of entailment relations", booktitle = SIGDAT, year = 2004, pages = {49--56} } @INPROCEEDINGS{STSD93, author = {R. Siromoney and D. G. Thomas and K. G. Subramanian and V. R. Dare}, title = {Thue systems and {DNA} - a learning algorithm for a subclass}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {314--327}, publisher = {Springer-Verlag} } @INPROCEEDINGS{SWCD97, author = {A. P. Sistla and O. Wolfson and S. Chamberlain and S. Dao}, title = {Modeling and querying moving objects}, booktitle = {Proc. Intl Conf. 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Tayeb-bey}, title = {Grammatical inference in document recognition}, booktitle = {Proc. 4th International Colloquium on Grammatical Inference - ICGI '98}, year = 1998, volume = 1433, series = {Lecture Notes in Artificial Intelligence}, pages = {175--186}, publisher = {Springer-Verlag} } @ARTICLE{SaittaBe93, author = {Lorenza Saitta and Francesco Bergadano}, title = {Pattern Recognition and {V}aliant's Learning Framework}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, year = 1993, volume = 15, pages = {145--155}, number = 2, month = Feb } @ARTICLE{SaittaBoNe93, author = {Lorenza Saitta and Marco Botta and Filippo Neri}, title = {Multistrategy Learning and Theory Revision}, journal = {Machine Learning}, year = 1993, volume = 11, pages = {153--172}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{SaittaNe98, author = {Lorenzo Saitta and Filippo Neri}, title = {Learning in the 'real world'}, journal = {Machine Learning}, year = 1998, volume = 30, pages = {133--163}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{SakaiMa93, author = {Y. Sakai and A. Maruoka}, title = {Learning $k$-term monotone {B}oolean formulae}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {197--207}, publisher = {Springer-Verlag} } @INPROCEEDINGS{SakaiMa94, author = {Y. Sakai and A. Maruoka}, title = {Learning monotone log-term {DNF} formulas}, booktitle = {Proc. 7th Annu. ACM Conf. on Comput. Learning Theory}, year = 1994, pages = {165--172}, publisher = {ACM Press, New York, NY} } @ARTICLE{SakaiTaMa99, author = {Y. Sakai and E. Takimoto and A. Maruoka}, title = {Proper learning algorithm for functions of $k$ terms under smooth distributions}, journal = {Inform. Comput.}, year = 1999, volume = 152, pages = {188--204}, number = 2, note = {First appeared in COLT'95} } @INPROCEEDINGS{Sakaki92, author = {Y. Sakaki}, title = {The logic of molecular geneticists for the understanding of genetic information}, booktitle = {Proc. 2nd Int. 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Workshop on Algorithmic Learning Theory}, year = 1992, pages = {73--83}, publisher = {IOS Press} } @ARTICLE{Sakurai95, author = {Akito Sakurai}, title = {On the {VC}-dimension of depth four threshold circuits and the complexity of Boolean-valued functions}, journal = {Theoret. Comput. Sci.}, year = 1995, volume = 137, pages = {109--127}, number = 1, note = {Special Issue for ALT '93} } @INPROCEEDINGS{SakuraiHa92, author = {S. Sakurai and M. Haraguchi}, title = {Towards learning by abstraction}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {288--298}, publisher = {IOS Press} } @INPROCEEDINGS{SalakhutdinovMnHi07, author = {R. Salakhutdinov and A. Mnih and G. Hinton}, title = {Restricted {Boltzmann} machines for collaborative filtering}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {791--798}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{SalganicoffUn95, author = {Marcos Salganicoff and Lyle H. Ungar}, title = {Active exploration and learning in real-valued spaces using multi-armed bandit allocation indices}, booktitle = {Proc. 12th International Conference on Machine Learning}, year = 1995, pages = {480--487}, publisher = {Morgan Kaufmann} } @ARTICLE{SalganicoffUnBa96, author = {Marcos Salganicoff and Lyle H. 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Vijay-Shanker}, title = {An investigation of transformation-based learning in discourse}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {497--505}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Samuelsson96, author = {C. Samuelsson}, title = {Handling sparse data by successive abstraction}, booktitle = COLING, year = 1996 } @ARTICLE{Sandewall86, author = {Sandewall, E.}, title = {Non-monotonic inference rules for multiple inheritance with exceptions}, journal = {Proceedings of The IEEE}, year = 1986, volume = 74 } @ARTICLE{Sanger89, author = {T. D. Sanger}, title = {Optimal unsupervised learning in a single-layer linear feedforward neural network}, journal = {Neural Networks}, year = 1989, volume = 2, pages = {459--473} } @INPROCEEDINGS{Saoudi94, author = {A. Saoudi}, title = {Learning Local and Recognizable $\omega$-languages and Monadic Logic Programs}, booktitle = {Computational Learning Theory: EuroColt '93}, year = 1994, volume = {New Series Number 53}, series = {The Institute of Mathematics and its Applications Conference Series}, pages = {157--169}, address = {Oxford}, publisher = {Oxford University Press}, isbn = {0 19 853492 2} } @INPROCEEDINGS{SarkansB98, author = { U. Sarkans and J. B{\=a}rzdi{\c n}{\u s}}, title = {Using Attribute Grammars for Description of Inductive Inference Search Space}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {400--408}, publisher = {Springer-Verlag} } @ARTICLE{SarnakTa86, author = {N. Sarnak and R. E. Tarjan}, title = {Planar point location using persistent search trees}, journal = {Commun. 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Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {101--110}, publisher = {Springer-Verlag} } @MISC{SatoKa00, author = {T. Sato and Y. Kameya}, title = {A Viterbi-like algorithm and EM learning for statistical abduction}, year = 2000, text = {Sato,T. and Kameya, Y., A Viterbi-like algorithm and EM learning for statistical abduction, Proc. of UAI2000 Workshop on Fusion of Domain Ifnowlcdgc with Data for Decision Support, 2000.}, url = {citeseer.nj.nec.com/sato00viterbilike.html} } @INPROCEEDINGS{SatoKa97, author = {Taisuke Sato and Yoshitaka Kameya}, title = {PRISM: A Language for Symbolic-Statistical Modeling.}, booktitle = IJCAI, year = 1997, pages = {1330-1339}, bibsource = {DBLP, http://dblp.uni-trier.de} } @INPROCEEDINGS{SatoMuZh98, author = {M. Sato and Y. Mukouchi and D. Zheng}, title = {Characteristic Sets for Unions of Regular Pattern Languages and Compactness}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {220--233}, publisher = {Springer-Verlag} } @INPROCEEDINGS{SatoNa07, author = {Sato, Issei and Nakagawa, Hiroshi}, title = {{Bayesian} Document Generative Model with Explicit Multiple Topics}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {421--429}, url = {http://www.aclweb.org/anthology/D/D07/D07-1044} } @INPROCEEDINGS{SatoUm92, author = {M. Sato and K. Umayahara}, title = {Inductive inferability for formal languages from positive data}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {84--92}, publisher = {IOS Press} } @INPROCEEDINGS{Satoh98, author = {K. Satoh}, title = {Analysis of Case-Based Representability of Boolean Functions by Monotone Theory}, booktitle = {Proc. 9th International Conference on Algorithmic Learning Theory - ALT '98}, year = 1998, volume = 1501, series = {Lecture Notes in Artificial Intelligence}, pages = {179--190}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Saul98, author = {Lawrence K. Saul}, title = {Automatic segmentation of continuous trajectories with invariance to nonlinear warpings of time}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {506--514}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{SaulJo99, author = {Lawrence K. Saul and Michael I. Jordan}, title = {Mixed Memory Markov Models: {D}ecomposing Complex Stochastic Processes as Mixtures of Simpler Ones}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {75--87}, number = 1, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{SaulSi95, author = {Lawrence K. Saul and Satinder P. Singh}, title = {Markov decision processes in large state spaces}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {281--288}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{SaulSi96, author = {Lawrence K. Saul and Satinder P. Singh}, title = {Learning curve bounds for a {M}arkov decision process with undiscounted rewards}, booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory}, year = 1996, pages = {147--156}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{SaundersGaVo98, author = {G. Saunders and A. Gammerman and V. Vovk}, title = {Ridge regression learning algorithm in dual variables}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {515--521}, publisher = {Morgan Kaufmann, San Francisco, CA} } @ARTICLE{SayAk97, author = {B. Say and V. Akman}, title = {Current Approaches to Punctuation in Computational Linguistics}, journal = {Computers and the Humanities}, volume = {30(6)}, pages = {457--469}, year = 1997, } @INPROCEEDINGS{Schabes92, author = {Yves Schabes}, title = {Stochastic lexicalized tree-adjoining grammars}, booktitle = COLING, year = 1992 } @ARTICLE{Schaefer99, author = {M. Schaefer}, title = {Deciding the Vapnik-Cervonenkis dimension is ${\Sigma}^p_3$-complete}, journal = {J. of Comput. Syst. Sci.}, year = 1999, volume = 58, pages = {177--182}, number = 1 } @INPROCEEDINGS{Schafer-Richter86, author = {G. Sch{\"a}fer-Richter}, title = {Some Results in the Theory of Effective Program Synthesis - Learning by Defective Information}, booktitle = {Proc. Int. Spring School on Mathematical Methods of Specification and Synthesis of Software Systems '85}, year = 1986, volume = 215, series = {Lecture Notes in Computer Science}, pages = {219--225} } @ARTICLE{Schaffer93, author = {Cullen Schaffer}, title = {Bivariate Scientific Function Finding in a Sampled, Real-Data Testbed}, journal = {Machine Learning}, year = 1993, volume = 12, pages = {167--183}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Schaffer93a, author = {Cullen Schaffer}, title = {Overfitting Avoidance as Bias}, journal = {Machine Learning}, year = 1993, volume = 10, pages = {153--178}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Schaffer93b, author = {Cullen Schaffer}, title = {Selecting a Classification Method by Cross-Validation}, journal = {Machine Learning}, year = 1993, volume = 13, pages = {135--143}, publisher = {Kluwer Academic Publishers, Boston} } @MASTERSTHESIS{Schapire88, author = {Schapire, Robert E.}, title = {Diversity-Based Inference of Finite Automata}, school = {MIT Lab.\ for Computer Science}, year = 1988, month = may, note = {Technical Report MIT/LCS/TR-413}, tag = {TOC-display} } @INPROCEEDINGS{Schapire89, author = {Schapire, Robert E.}, title = {The Strength of Weak Learnability}, booktitle = {Proceedings of the Thirtieth Annual Symposium on Foundations of Computer Science}, year = 1989, address = {Research Triangle Park, North Carolina}, month = Oct, tag = {TOC-display} } @INPROCEEDINGS{Schapire89b, author = {Schapire, R. E.}, title = {Pattern Languages are Not Learnable}, booktitle = {Proceedings of COLT '90}, year = 1990, pages = {122--129}, publisher = {Morgan Kaufmann}, tag = {TOC-display} } @ARTICLE{Schapire90, author = {Schapire, R. E.}, title = {The Strength of Weak Learnability}, journal = {Machine Learning}, year = 1990, volume = 5, pages = {197--227}, number = 2, tag = {TOC-display} } @PHDTHESIS{Schapire91, author = {Robert Elias Schapire}, title = {The Design and Analysis of Efficient Learning Algorithms}, school = {MIT EECS Department}, year = 1991, month = Feb, note = {(MIT Laboratory for Computer Science Technical ReportMIT/LCS/TR-493; reprinted by MIT Press.)} } @INPROCEEDINGS{Schapire91b, author = {Schapire, Robert E.}, title = {Learning Probabilistic Read-Once Formulas on ProductDistributions}, booktitle = {Proceedings of the Fourth Annual Workshop onComputational Learning Theory}, year = 1991, pages = {184--198}, address = {Santa Cruz, California}, month = Aug } @BOOK{Schapire92, title = {The Design and Analysis of Efficient Learning Algorithms}, publisher = {{MIT} {P}ress}, year = 1992, author = {R. E. Schapire}, address = {Cambridge, MA}, comment = {His PhD thesis in book form. Ph.D was in 1991.} } @ARTICLE{Schapire94, author = {Robert E. Schapire}, title = {Learning Probabilistic Read-once Formulas on Product Distributions}, journal = {Machine Learning}, year = 1994, volume = 14, pages = {47--81}, number = 1, annote = {Earlier version in COLT 1991}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Schapire97, author = {Robert E. Schapire}, title = {Using output codes to boost multiclass learning problems}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {313--321}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Schapire99, author = {Robert E. Schapire}, title = {Drifting Games}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {114--124}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Schapire99a, author = {Robert E. Schapire}, title = {Theoretical Views of Boosting}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {1--10}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Schapire99b, author = {Robert E. Schapire}, title = {Theoretical Views of Boosting and Applications}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {13--25}, publisher = {Springer-Verlag} } @ARTICLE{SchapireFrBaLe98, author = {R. E. Schapire and Y. Freund and P. Bartlett and W. S. Lee}, title = {Boosting the margin: A new explanation for the effectiveness of voting methods}, journal = {Annals of Statistics}, year = 1998, volume = {26(5)}, pages = {1651-1686} } @ARTICLE{SchapireSe96, author = {Robert E. Schapire and Linda M. Sellie}, title = {Learning sparse multivariate polynomials over a field with queries and counterexamples}, journal = {J. of Comput. Syst. Sci.}, year = 1996, volume = 52, pages = {201--213}, number = 2, note = {Earlier version in 6th COLT, 1993} } @ARTICLE{SchapireSi00, author = {Robert E. Schapire and Yoram Singer}, title = {BoosTexter: {A} Boosting-based System for Text Categorization}, journal = {Machine Learning}, year = 2000, volume = 39, pages = {135--168}, number = {2/3}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{SchapireSi99, author = {Robert E. Schapire and Yoram Singer}, title = {Improved Boosting Algorithms Using Confidence-rated Predictions}, journal = {Machine Learning}, year = 1999, volume = 37, pages = {297--336}, number = 3, comment = {first in 11th COLT '98}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{SchapireWa96, author = {Robert E. Schapire and Manfred K. Warmuth}, title = {On the Worst-Case Analysis of Temporal-Difference Learning Algorithms}, journal = {Machine Learning}, year = 1996, volume = 22, pages = {95--121}, number = {1/2/3}, annote = {Earlier version in 11th ML conference, 1994}, publisher = {Kluwer Academic Publishers, Boston} } @ARTICLE{Schatz97, author = {Schatz, R. B.}, title = {Information Retrieval in Digital Libraries: Bringing Search to the Net}, journal = {Science}, year = 1997, volume = 275, pages = {273--444}, month = {Jan} } @INPROCEEDINGS{SchefferGrDa97, author = {Tobias Scheffer and Russell Greiner and Christian Darken}, title = {Why experimentation can be better than Perfect Guidance}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {331--339}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{SchefferJo99, author = {Tobias Scheffer and Thorsten Joachims}, title = {Expected error analysis for model selection}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {361--370}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{SchiehlenSp07, author = {Schiehlen, Michael and Spranger, Kristina}, title = {Global Learning of Labeled Dependency Trees}, booktitle = {Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007}, year = 2007, pages = {1156--1160}, url = {http://www.aclweb.org/anthology/D/D07/D07-1127} } @INCOLLECTION{Schirra99, author = {S. 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Moore}, title = {Value function based production scheduling}, booktitle = {Proc. 15th International Conf. on Machine Learning}, year = 1998, pages = {522--530}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{Schneiderman00a, author = {Schneiderman, H. and Kanade, T.}, title = {A Statistical Method for {3D} Object Detection Applied to Faces and Cars}, booktitle = CVPR, year = 2000, volume = 1, pages = {746-751} } @book{ScholkopfSm01, author = {Bernhard Scholkopf and Alexander J. Smola}, title = {Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond}, year = 2001, publisher = {MIT Press}, address = {Cambridge, MA, USA}, } @ARTICLE{SchraudolphBe92, author = {Nicol N. Schraudolph and Richard K. Belew}, title = {Dynamic Parameter Encoding for Genetic Algorithms}, journal = {Machine Learning}, year = 1992, volume = 9, pages = {9--21}, publisher = {Kluwer Academic Publishers, Boston} } @incollection{Schubert86, AUTHOR = {L. K. Schubert}, TITLE = {From English to Logic: Contex-Free Computation of 'Conventional' Logical Translations}, YEAR = 1986, BOOKTITLE = {Natural Language Processing}, EDITOR = {B. J. Grosz and K. {Sparck Jones} and B. L. Webber}, PUBLISHER = {Kaufmann}, ADDRESS-LOCAL ={Los Altos, CA}, KEYWORDS = {ling, n-l-p} } @INCOLLECTION{Schubert:86, author = {L. K. Schubert}, title = {From English to Logic: Contex-Free Computation of 'Conventional' Logical Translations}, booktitle = {Natural Language Processing}, publisher = {Kaufmann}, year = 1986, editor = {B. J. Grosz and K. {Sparck Jones} and B. L. Webber}, address = {Los Altos, CA}, keywords = {ling, n-l-p} } @INCOLLECTION{SchubertPaTa87, author = {Schubert, L.K., M. A. Papalaskaris and J. Taugher}, title = {Accelerating Deductive Inference: Special methods fortaxonomies, colours, and times.}, booktitle = {The knowledge Frontier: Essays in the Representation ofKnowledge}, publisher = {Springer Verlag}, year = 1987, editor = {Cercone, N. J. and G. Mccalla} } @InProceedings{Schuler02, author = {William Schuler}, title = {Interleaved Semantic Interpretation in Environment-based Parsing}, booktitle = COLING, year = 2002, address = {Taipe, Taiwan}, } @InProceedings{Schuler03, author = {William Schuler}, title = {Using Model-Theoretic Semantic Interpretation to Guide Statistical Parsing and Word Recognition in a Spoken Language Interface}, booktitle = ACL, year = 2003, address = {Sapporo, Japan}, publisher = {ACL}, } @INPROCEEDINGS{Schuler99, author = {Rainer Schuler}, title = {Universal Distributions and Time-Bounded Kolmogorov Complexity}, booktitle = {Proc.~16th Annual Symposium on Theoretical Aspects of Computer Science - STACS '99}, year = 1999, volume = 1563, series = {Lecture Notes in Computer Science}, pages = {434--443}, publisher = {Springer-Verlag} } @InProceedings{SchulerMi05, author = {William Schuler and Tim Miller}, title = {Integrating Denotational Meaning into a DBN Language Model}, booktitle = {Eurospeech/Interspeech'05}, year = 2005, address = {Lisbon, Portugal}, } @INCOLLECTION{Schutze, author = {H. Sch\"{u}tze}, title = {Towards connectionist lexical semantics}, booktitle = {The Reality of Linguistic Rules}, publisher = {John Benjamins}, editor = {Roberta Corrigan and Gregory K. Iverson and Susan D. Lima}, address = {Amsterdam; Philadelphia} } @inproceedings(Schutze92, author = {Hinrich Sch\"{u}tze}, title = "Dimensions of meaning", booktitle = "Proc. of Supercomputing", pages = {787-796}, year = 1992 ) @INPROCEEDINGS{Schutze92a, author = {Hinrich Sch\"{u}tze}, title = {Context space}, booktitle = {Working Notes, AAAI Fall Symposium on Probabilistic Approaches to Natural Language}, year = 1992 } @INPROCEEDINGS{Schutze92b, author = {H. Sch\"{u}tze}, title = {Dimensions of Meaning}, booktitle = {Proceedings of Supercomputing '92}, year = 1992, comment = {schuetze.meaning.ps.Z} } @incollection{Schutze92conn, author = {H. Sch\"{u}tze}, title = "Towards connectionist lexical semantics", editor = "Roberta Corrigan and Gregory K. Iverson and Susan D. Lima", booktitle = {The Reality of Linguistic Rules}, publisher = "John Benjamins", address = {Amsterdam; Philadelphia} } @INCOLLECTION{Schutze93, author = {Hinrich Sch\"{u}tze}, title = {Word Space}, booktitle = {Advances in Neural Information Processing Systems 5}, publisher = {Morgan Kaufman Publishers}, year = 1993, editor = {S. J. Hanson and J. D. Cowan and C. L. Giles}, pages = {895--902}, address = {San Mateo CA} } @inproceedings{Schutze93a, author = {H. Sch\"{u}tze}, title = {Translation by Confusion}, year = 1993, editor = {Bonnie Dorr}, booktitle = {Working Notes of the AAAI Spring Symposium on Building Lexicons for Machine Translation}, address = {Stanford CA}, organization = {AAAI Press} } @INPROCEEDINGS{Schutze93b, author = {H. Sch\"{u}tze}, title = {Distributed Syntactic Representations with an Application to Part-of-Speech Tagging}, booktitle = {Proceedings of the IEEE International Conference on Neural Networks}, year = 1993, comment = {schuetze.tagging.ps.Z} } @INPROCEEDINGS{Schutze93c, author = {H. Sch\"{u}tze}, title = {Part-of-Speech Induction from Scratch}, booktitle = ACL, year = 1993, address = {Ohio State University}, comment = {schuetze.positive.ps.Z} } @inproceedings{Schutze93d, author = {H. Sch\"{u}tze}, title = {Distributed Syntactic Representations with an Application to Part-of-Speech Tagging}, year = 1993, booktitle = {Proceedings of the IEEE International Conference on Neural Networks}, comment = {schuetze.tagging.ps.Z} } @INPROCEEDINGS{Schutze94, author = {H. Sch\"{u}tze}, title = {A Connectionist Model of Verb Subcategorization}, booktitle = {Proc. of the Sixteenth Annual Conference of the Cognitive Science Society}, year = 1994, address = {Georgia Tech}, comment = {verbsubcat.ps.Z.} } @INPROCEEDINGS{Schutze95, author = {H. Sch\"{u}tze}, title = {Distributional Part-of-Speech Tagging}, booktitle = {Proceedings of the 7th Conference of the European Chapter of the Association for Computational Linguistics}, year = 1995, comment = {similarity measures} } @INPROCEEDINGS{SchutzeHuPe95, author = {H. Sch\"{u}tze and D. A. Hull and J. O. Pedersen}, title = {A Comparison of Classifiers and Document Representations for the Routing Problem}, booktitle = {Proceedings of SIGIR 95}, year = 1995 } @INPROCEEDINGS{SchutzePe93, author = {H. Sch\"{u}tze and J. Pedersen}, title = {A Vector Model for syntagmatic and paradigmatic relatedness}, booktitle = {Proceedings of the 9th Annual Conference of the University of Waterloo Centre for the New OED and Text Research}, year = 1993, address = {Oxford, England}, comment = {hinjan.synpar.ps.Z} } @INPROCEEDINGS{SchutzePe94, author = {H. Sch\"{u}tze and J. O. Pedersen}, title = {A Co-occurrence-Based Thesaurus and Two Applications to Information Retrieval}, booktitle = {Proc. of RIAO 94}, year = 1994, address = {Rockefeller University} } @INPROCEEDINGS{SchutzePe95, author = {H. Sch\"{u}tze and J. O. Pedersen}, title = {Information Retrieval Based on Word Senses}, booktitle = {Fourth Annual Symposium on Document Analysis and Information Retrieval}, year = 1995, address = {Las Vegas NV} } @INPROCEEDINGS{SchutzePeHe95, author = {H. Sch\"{u}tze and J. O. Pedersen and M. A. Hearst}, title = {Xerox {TREC} 3 Report: {C}ombining Exact and Fuzzy Predictors}, booktitle = {The Third Text REtrieval Conference (TREC-3)}, year = 1995, editor = {D.K. Harman}, address = {Washington DC}, publisher = {U.S. Department of Commerce} } @INPROCEEDINGS{SchutzeSi94, author = {H. Sch\"{u}tze and Y. Singer}, title = {Part-of-speech tagging using a variable memory markov model}, booktitle = {Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics}, year = 1994, comment = {vartagging.ps.Z} } @ARTICLE{Schuurmans97, author = {Dale Schuurmans}, title = {Characterizing Rational Versus Exponential Learning Curves}, journal = {J. Comput. Syst. Sci.}, year = 1997, volume = 55, pages = {140--160}, number = 1, note = {First appeared in EuroCOLT '95} } @INPROCEEDINGS{SchuurmansGr94, author = {Dale Schuurmans and Russell Greiner}, title = {Learning Default Concepts}, booktitle = {Proc. of the Tenth Canadian Conference on Artificial Intelligence}, year = 1994, pages = {519--523} } @INPROCEEDINGS{SchuurmansGr95, author = {Dale Schuurmans and Russell Greiner}, title = {Practical {PAC} Learning}, booktitle = IJCAI, year = 1995, addres = {Montreal} } @INPROCEEDINGS{SchuurmansGr95a, author = {Dale Schuurmans and Russell Greiner}, title = {Sequential {PAC} learning}, booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory}, year = 1995, pages = {377--384}, publisher = {ACM Press, New York, NY} } @INBOOK{SchuurmansGr97, chapter = 10, title = {Fast Distribution-Specific Learning}, publisher = {MIT Press}, year = 1997, author = {Dale Schuurmans and Russell Greiner}, booktitle = {Computational Learning Theory and Natural Learning Systems IV: Making Learning Systems Practical} } @INBOOK{SchuurmansGr97a, chapter = 6, pages = {87--105}, title = {Learning to Classify Incomplete Examples}, publisher = {MIT Press}, year = 1997, author = {Dale Schuurmans and Russell Greiner}, booktitle = {Computational Learning Theory and Natural Learning Systems IV: Making Learning Systems Practical} } @INPROCEEDINGS{SchuurmansUnFo97, author = {Dale Schuurmans and Lyle H. Ungar and Dean P. Foster}, title = {Characterizing the generalization performance of model selection strategies}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {340--348}, publisher = {Morgan Kaufmann} } @ARTICLE{SchwankeHa94, author = {Robert W. Schwanke and Stephen Jose{\'e} Hanson}, title = {Using neural networks to modularize software}, journal = {Machine Learning}, year = 1994, volume = 15, pages = {137--168}, number = 2 } @INPROCEEDINGS{SchwartzDiHe07, author = {Schwartz, Ariel and Divoli, Anna and Hearst, Marti}, title = {Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding}, booktitle = {Proceedings of the 2007 Joint Conference of EMNLP-CoNLL}, year = 2007, pages = {847--857}, url = {http://www.aclweb.org/anthology/D/D07/D07-1089} } @INPROCEEDINGS{SchwartzHoHu89, author = {D. B. Schwartz and R. E. Howard and W. E. 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Dietterich}, title = {Hierarchical explanation-based reinforcement learning}, booktitle = {Proc. 14th International Conference on Machine Learning}, year = 1997, pages = {358--366}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{TadepalliOk96, author = {Prasad Tadepalli and Do{K}yeong Ok}, title = {Scaling up average reward reinforcement learning by approximating the domain models and the value function}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {471--479}, publisher = {Morgan Kaufmann} } @INPROCEEDINGS{Tadi'c99, author = {Vladislav Tadi{\'c}}, title = {Convergence analysis of temporal-difference learning algorithms with linear function approximation}, booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory}, year = 1999, pages = {193--202}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{Tadic99, author = {Vladislav Tadic}, title = {On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm}, booktitle = {Proc. 4th European Conference on Computational Learning Theory}, year = 1999, volume = 1572, series = {Lecture Notes in Artificial Intelligence}, pages = {126--137}, publisher = {Springer-Verlag} } @INPROCEEDINGS{TaeCo96, author = {Kang Soo Tae and Diane J. Cook}, title = {Experimental knowledge acquisition for planning}, booktitle = {Proc. 13th International Conference on Machine Learning}, year = 1996, pages = {480--488}, publisher = {Morgan Kaufmann} } @ARTICLE{Takada88, author = {Yuji Takada}, title = {Grammatical inference for even linear languages based on control sets}, journal = {Inform. Process. Lett.}, year = 1988, volume = 28, pages = {193--199} } @INPROCEEDINGS{Takada94, author = {Yuji Takada}, title = {A hierarchy of language families learnable by regular language learners}, booktitle = {Proc. 2nd International Colloquium on Grammatical Inference - ICGI '94}, year = 1994, volume = 862, series = {Lecture Notes in Artificial Intelligence}, pages = {16--24}, publisher = {Springer-Verlag} } @INCOLLECTION{Takada95, author = {Yuji Takada}, title = {Learning Formal Languages Based on Control Sets}, booktitle = {Algorithmic Learning for Knowledge-Based Systems}, publisher = {Springer--Verlag}, year = 1995, volume = 961, series = {Lecture Notes in Artificial Intelligence}, pages = {316--339} } @INPROCEEDINGS{TakadaSaOh92, author = {Y. Takada and Y. Sakakibara and T. Ohtani}, title = {{ACE}: a syntax-directed editor customizable from examples and queries}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {126--138}, publisher = {IOS Press} } @ARTICLE{Takashi95, author = {Yokomori Takashi}, title = {On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata}, journal = {Machine Learning}, year = 1995, volume = 19, pages = {153--179}, publisher = {Kluwer Academic Publishers, Boston} } @INPROCEEDINGS{Takeuchi93, author = {J. Takeuchi}, title = {Some improved sample complexity bounds in the probabilistic {PAC} learning model}, booktitle = {Proc. 3th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 743, series = {Lecture Notes in Artificial Intelligence}, pages = {208--219}, publisher = {Springer-Verlag} } @INPROCEEDINGS{TakimotoHiMa97, author = {Eiji Takimoto and Ken'ichi Hirai and Akira Maruoka}, title = {A simple algorithm for predicting nearly as well as the best pruning labeled with the best prediction values of a decision tree}, booktitle = {Algorithmic Learning Theory: ALT '97}, year = 1997, volume = 1316, series = {Lecture Notes in Artificial Intelligence}, pages = {385--400}, publisher = {Springer-Verlag} } @INPROCEEDINGS{TakimotoMa92, author = {E. Takimoto and A. Maruoka}, title = {Relationships between {PAC}-learning algorithms and weak {O}ccam algorithms}, booktitle = {Proc. 2nd Int. Workshop on Algorithmic Learning Theory}, year = 1992, pages = {151--162}, publisher = {IOS Press} } @INPROCEEDINGS{TakimotoMa93, author = {E. Takimoto and A. Maruoka}, title = {Conservativeness and monotonicity for learning algorithms}, booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory}, year = 1993, pages = {377--383}, publisher = {ACM Press, New York, NY} } @INPROCEEDINGS{TakimotoMa93a, author = {E. Takimoto and A. Maruoka}, title = {On the sample complexity of consistent learning with one-sided error}, booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning Theory}, year = 1993, volume = 744, series = {Lecture Notes in Artificial Intelligence}, pages = {265--278}, publisher = {Springer-Verlag} } @INPROCEEDINGS{TakimotoMa98, author = {Eiji Takimoto and Akira Maruoka}, title = {On the boosting algorithm for multiclass functions based on information-theoretic criterion for approximation}, booktitle = {Proc. 1st International Conference on Discovery Science}, year = 1998, volume = 1532, series = {Lecture Notes in Artificial Intelligence}, pages = {256--267}, publisher = {Springer-Verlag} } @ARTICLE{TakimotoSaMa00, author = {Eiji Takimoto and Yoshifumi Sakai and Akira Maruoka}, title = {The learnability of exclusive-or expansions based on monotone {DNF} formulas}, journal = {Theoret. Comput. Sci.}, year = 2000, volume = 241, pages = {37--50}, number = {1-2}, note = {Special issue for ALT '96} } @INPROCEEDINGS{TakimotoTaMa94, author = {E. Takimoto and I. Tajika and A. Maruoka}, title = {Mutual information gaining algorithm and its relation to {PAC}-learning algorithm}, booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning Theory}, year = 1994, volume = 872, series = {Lecture Notes in Artificial Intelligence}, pages = {547--559}, publisher = {Springer-Verlag} } @INPROCEEDINGS{TakimotoWa00, author = {Eiji Takimoto and Manfred Warmuth}, title = {The Minimax Strategy for {G}aussian Density Estimation}, booktitle = {Proc. 13th Annu. Conference on Comput. Learning Theory}, year = 2000, pages = {100--106}, publisher = {Morgan Kaufmann, San Francisco} } @INPROCEEDINGS{TakimotoWa99, author = {Eiji Takimoto and Manfred K. Warmuth}, title = {Predicting Nearly as Well as the Best Pruning of a Planar Decision Graph}, booktitle = {Proc. 10th International Conference on Algorithmic Learning Theory - ALT '99}, year = 1999, volume = 1720, series = {Lecture Notes in Artificial Intelligence}, pages = {335--346}, publisher = {Springer-Verlag} } @INPROCEEDINGS{Talavera99, author = {Luis Talavera}, title = {Feature selection as a preprocessing step for hierarchical clustering}, booktitle = {Proc. 16th International Conf. on Machine Learning}, year = 1999, pages = {389--397}, publisher = {Morgan Kaufmann, San Francisco, CA} } @INPROCEEDINGS{TalbertFi99, author = {Douglas A. Talbert and Douglas H. 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M\"{u}ller}, title = {Asymptotic {Bayesian} generalization error when training and test distributions are different}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {1079--1086}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{YWLHL07, author = {Yu, Liang-Chih and Wu, Chung-Hsien and Lin, Chin-Yew and Hovy, Eduard and Lin, Chia-Ling}, title = {Topic Analysis for Psychiatric Document Retrieval}, booktitle = ACL, year = 2007, pages = {1024--1031}, address = {Prague, Czech Republic}, month = {June}, publisher = {Association for Computational Linguistics}, url = {http://www.aclweb.org/anthology/P/P07/P07-1129} } @INPROCEEDINGS{Yairi07, author = {T. Yairi}, title = {Map building without localization by dimensionality reduction techniques}, booktitle = ICML, year = 2007, editor = {Zoubin Ghahramani}, pages = {1071--1078}, publisher = {Omnipress}, location = {Corvallis, OR} } @INPROCEEDINGS{YamadaMa03, author = {H. Yamada and Y. 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