%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 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{IJCGA = {The International Journal of Computational Geometry and Applications }}
@string{MLJ = {Machine Learning Journal}}
@string{jnle = {Journal for Natural Language Engineering"}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% CONFERENCES %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@STRING{WWW = {WWW}}
@string{AAAI= {AAAI}}
@string{ANLP = {ANLP}}
@string{ARPA = {ARPA}}
@string{ACCV = {ACCV}}
@string{AISTAT = {AISTAT}}
@string{ALT = {ALT}}
@string{COLING = {COLING}}
@string{ACL = {ACL}}
@string{EACL = {EACL}}
@string{COLT = {COLT}}
@string{CoNLL = {CoNLL}}
@string{CVPR = {CVPR}}
@string{DARPA = {DARPA Workshop}}
@string{ECML = {ECML}}
@string{FOCS = {IEEE Symp. of Foundation of Computer Science}}
@string{ECCV = {ECCV}}
@string{ECIR = {ECIR}}
@string{IAAI= {IAAI}}
@string{ICML = {ICML}}
@string{ICASSP = {ICASSP}}
@string{IJCAI = {IJCAI}}
@string{IJCNLP = {IJCNLP}}
@string{ILP = {Proc. of the International Conference Inductive Logic Programming}}
@string{IPW = {Proc. of the International Parsing Workshop}}
@string{IWPT = {IWPT}}
@string{IT = {IEEE Transactions on Information Theory}}
@string{ISMB = {The International Conference on Intelligent Systems for Molecular Biology}}
@string{LREC = {LREC}}
@string{KR = {KR}}
@string{NAACL = {NAACL}}
@string{NIPS = {NIPS}}
@string{SIGIR = {SIGIR}}
@string{SIGDAT = {EMNLP}}
@string{EMNLP = {EMNLP}}
@string{STOC = {ACM Symp. of the Theory of Computing}}
@string{TMI = {Proc. of the International Conference on Theoretical and Methodological Issues in Machine Translation}}
@string{UWOED = {Proc. of the Annual Conference of the UW Center for the New OED and Text Research}}
@string{JACM = {Journal of the ACM}}
@string{WWW = {WWW}}
@string{HLT-EMNLP = {HLT-EMNLP}}
@string{UAI = {UAI}}
@string{CIKM = {CIKM}}
@string{KDD = {KDD}}
@string{ICDM = {ICDM}}
@string{SODA = {SODA}}
@string{SOCG = {SOCG}}
@string{WADS = {WADS}}
@string{SWAT = {SWAT}}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 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-omit = {318--322},
publisher-omit = {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-omit = {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-omit = 1316,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {244--259},
publisher-omit = {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-omit = 19,
pages-omit = {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-omit = 61,
pages-omit = {194--216},
number-omit = 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-omit = 1316,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {2--17},
publisher-omit = {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-omit = 219,
pages-omit = {3--17},
number-omit = {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-omit = 24,
pages-omit = {687--705},
number-omit = 4,
url-omit =
{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-omit = {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-omit = {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-omit = 26,
pages-omit = {1679--1713},
keywords = {motion planning, shortest paths, polytopes,
diameter, edge sequences, unfolding of polytopes}
}
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chapter = 18,
pages-omit = {323--336},
title = {Learning verb translation rules from ambiguous
examples and a large semantic hierarchy},
publisher-omit = {MIT Press},
year = 1997,
author = {Hussein Almuallim and Yasuhiro Akiba and Takefumi
Yamazaki and Shigeo Kaneda},
volume-omit = {IV: Making Learning Systems Practical},
booktitle = {Computational Learning Theory and Natural Learning
Systems}
}
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Gennaro and P. deSouza and E. Epstein and
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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
}
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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-omit = {247--254}
}
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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-omit = {41--48}
}
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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,
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author = {N. Alon and S. Ben-David and N. {Cesa-Bianchi} and
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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
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booktitle = {Algorithmic and Computational Robotics: New
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year = 2001,
editor = {B. R. Donald and K. Lynch and D. Rus},
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@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-omit = 2125,
series = {{LNCS}},
pages-omit = {122--134}
}
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author = {P. K. Agarwal and M. de Berg and S. {Har-Peled} and
M. H. Overmars and M. Sharir and J. Vahrenhold},
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two and three dimensions},
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year = 2002,
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pages-omit = {195--207},
month-omit = {August},
issue = 2
}
@ARTICLE{ABMS98,
author = {P. K. Agarwal and M. de Berg and J. Matou{\v s}ek
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journal = SICOMP,
year = 1998,
volume-omit = 27,
pages-omit = {654--667},
url-omit = {http://epubs.siam.org/sam-bin/dbq/article/28184}
}
@ARTICLE{ABOSY89,
author = {A. Aggarwal and H. Booth and J. O'Rourke and S. Suri
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volume-omit = 83,
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number-omit = 1,
month-omit = oct,
keywords = {packing, visibility, convex polygons, extremal
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author = {Baruch Awerbuch and Margrit Betke and Ronald
L. Rivest and Mona Singh},
title = {Piecemeal Graph Exploration by a Mobile Robot},
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volume-omit = 152,
pages-omit = {155--172},
number-omit = 2,
comment = {first in COLT '95}
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author = {Andris Ambainis and Richard Desper and Martin Farach
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author = {P. K. Agarwal and D. Eppstein and L. J. Guibas and
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author = {B. Aronov and H. Edelsbrunner and L. J. Guibas and
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author = {A. Amir and A. Efrat and P. Indyk and H. Samet},
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nickname = {FOCS '99}
}
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isbn-omit = {0 19 853492 2}
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and J. Smotrovs},
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author = {Y. Amit and M. Fink and N. Srebro and S. Ullman},
title = {Uncovering shared structures in multiclass
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location-omit = {Corvallis, OR}
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author = {Cosimo Anglano and Attilio Giordana and Giuseppe Lo
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title = {An experimental evaluation of coevolutive concept
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year = 1998,
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author = {P. K. Agarwal and L. J. Guibas and S. {Har-Peled}
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number-omit = 3
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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-omit = {328--338}
}
@ARTICLE{AGHV01,
author = {P. K. Agarwal and L. J. Guibas and J. Hershberger
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title = {Maintaining the Extent of a Moving Point Set},
journal = DCG,
year = 2001,
volume-omit = 26,
pages-omit = {353--374},
number-omit = 3,
url-omit = {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-omit = 1272,
series = {Lecture Notes Comput. Sci.},
pages-omit = {31--44},
publisher-omit = {Springer-Verlag},
nickname = {WADS '97},
site = {Halifax, Canada}
}
@INPROCEEDINGS{AGMV97,
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@ARTICLE{AGSS89,
author = {A. Aggarwal and L. J. Guibas and J. Saxe and
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keywords = {convex polygons, Voronoi diagram}
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title = {{FASTUS}: A Finite-State Processor for Information
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@INPROCEEDINGS{AHHHL99,
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booktitle = {Proc. Workshop on Algorithm Engineering},
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pages-omit = {139--153},
html = {http://www.cs.duke.edu/ sariel/papers/99/zone.html},
nickname = {WAE '99}
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author = {E. M. Arkin and D. Halperin and K. Kedem and
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title = {{Arrangements of segments that share endpoints:
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pages-omit = {257--270}
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@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
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title = {Approximate Shortest Paths on a Convex Polytope in
Three Dimensions},
journal = JACM,
year = 1997,
volume-omit = 44,
pages-omit = {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-omit = {Taylor and Francis},
year = 1999,
editor = {P. Atkinson and D. Martin},
address-omit = {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
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volume-omit = 29,
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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-omit = {618--625},
address-omit = {Burke, VA, USA},
publisher-omit = {IOS Press},
isbn-omit = {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
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year = 1996,
pages-omit = {333--343},
publisher-omit = {ACM Press, New York, NY}
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title = {Malicious omissions and errors in answers to
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journal = {Machine Learning},
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author = {P. K. Agarwal and L. Arge and J. Erickson},
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author = {P. K. Agarwal and L. Arge and S. Govindarajan},
title = {{I/O}-Efficient Construction of Well Seperated Pairs
Decomposition},
note = {manuscript},
year = 2000
}
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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-omit = {510--517},
url-omit = {http://www.math.tau.ac.il/~michas/shellqq.ps}
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author = {P. K. Agarwal and B. Aronov and M. Sharir},
title = {Exact and Approximation Algorithms for Minimum-Width
Cylindrical Shells},
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year = 2001,
volume-omit = 26,
pages-omit = {307--320},
number-omit = 3,
url-omit = {http://www.math.tau.ac.il/~michas/shellqq.ps}
}
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author = {P. K. Agarwal and B. Aronov and M. Sharir},
title = {Computing Envelopes in Four Dimensions with
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year = 1997,
volume-omit = 26,
pages-omit = {1714--1732},
url-omit = {http://epubs.siam.org/sam-bin/dbq/article/26572}
}
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author = {P. K. Agarwal and B. Bhattacharya and S. Sen},
title = {Output-sensitive algorithms for uniform partitions
of points},
booktitle = {ISAAC},
year = 1999
}
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author = {A. Agarwal and S. Chakrabarti},
title = {Learning random walks to rank nodes in graphs},
booktitle = ICML,
year = 2007,
editor = {Zoubin Ghahramani},
pages-omit = {9--16},
publisher-omit = {Omnipress},
location-omit = {Corvallis, OR}
}
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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-omit = 29,
pages-omit = {912--953}
}
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author = {P. K. Agarwal and J. Erickson},
title = {Geometric range searching and its relatives},
booktitle = {Advances in Discrete and Computational Geometry},
publisher-omit = {AMS Press},
year = 1998,
editor = {B. Chzelle, J. E. Goodman and R. Pollack},
address-omit = {Providence, RI}
}
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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-omit = {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-omit = {5-16},
url-omit =
{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-omit = {148--157},
url-omit =
{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-omit = {270--279},
url-omit =
{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-omit = 33,
pages-omit = {227--242},
number-omit = 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-omit =
{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-omit = 4,
pages-omit = {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-omit = 11,
pages-omit = {393--418}
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@ARTICLE{AgarwalMa95,
author = {P. K. Agarwal and J. Matou{\v s}ek},
title = {Dynamic Half-Space Range Reporting and Its
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journal = {Algorithmica},
year = 1995,
volume-omit = 13,
pages-omit = {325--345},
keywords = {arrangements, cuttings, range-searching,
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author = {P. K. Agarwal and J. Matou{\v s}ek and
O. Schwarzkopf},
title = {Computing Many Faces in Arrangements of Lines and
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booktitle = SOCG,
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@INPROCEEDINGS{Ambainis95,
author = {Andris Ambainis},
title = {Application of {K}olmogorov complexity to inductive
inference with limited memory},
booktitle = {Proc. 6th Int. Workshop on Algorithmic Learning
Theory},
year = 1995,
pages-omit = {313--318},
publisher-omit = {Springer-Verlag}
}
@INCOLLECTION{Ambainis95a,
author = {A. Ambainis},
title = {Optimization problem in inductive inference},
booktitle = {Algorithmic Learning for Knowledge-Based Systems},
publisher-omit = {Springer--Verlag},
year = 1995,
volume-omit = 961,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {96--107}
}
@INPROCEEDINGS{Ambainis95b,
author = {Andris Ambainis},
title = {The power of procrastination in inductive inference:
how it depends on used ordinal notations},
booktitle = {Computational Learning Theory: EuroColt '95},
year = 1995,
pages-omit = {99--111},
publisher-omit = {Springer-Verlag}
}
@INPROCEEDINGS{Ambainis96,
author = {Andris Ambainis},
title = {Probabilistic and team {PFIN}-type learning: general
properties},
booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory},
year = 1996,
pages-omit = {157--168},
publisher-omit = {ACM Press, New York, NY}
}
@INPROCEEDINGS{AmbainisFr96,
author = {Andris Ambainis and R{\=u}si{\c n}s Freivalds},
title = {transformations that preserve learnability},
booktitle = {Algorithmic Learning Theory: ALT '96},
year = 1996,
volume-omit = 1160,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {299--311},
publisher-omit = {Springer-Verlag}
}
@INPROCEEDINGS{AmbainisFrSm96,
author = {Andris Ambainis and R{\=u}si{\c n}s Freivalds and
Carl H. Smith},
title = {General Inductive Inference Types Based on
Linearly-Ordered Sets},
booktitle = {Proc.~13th Annual Symposium on Theoretical Aspects
of Computer Science: STACS'96},
year = 1996,
volume-omit = 1046,
series = {Lecture Notes in Computer Science},
pages-omit = {243--253},
publisher-omit = {Springer-Verlag}
}
@ARTICLE{AmbainisFrSm99,
author = {Andris Ambainis and Rusins Freivalds and Carl
H. Smith},
title = {Inductive Inference with Procrastination: Back to
Definitions},
journal = {Fundamenta Informaticae},
year = 1999,
volume-omit = 40,
pages-omit = {1--16}
}
@ARTICLE{AmbainisJaSh99,
author = {Andris Ambainis and Sanjay Jain and Arun Sharma},
title = {Ordinal mind change complexity of language
identification},
journal = {Theoret. Comput. Sci.},
year = 1999,
volume-omit = 220,
pages-omit = {323--343},
number-omit = 2,
comment = {first in EuroColt '97}
}
@INPROCEEDINGS{AmbainisSm94,
author = {A. Ambainis and J. Smotrovs},
title = {Enumerable classes of total recursive functions:
complexity of inductive inference},
booktitle = {Proc. 5th Int. Workshop on Algorithmic Learning
Theory},
year = 1994,
pages-omit = {10--25},
publisher-omit = {Springer-Verlag}
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author = {N. Amenta and M. Bern},
title = {Surface reconsruction by {Voronoi} filtering},
booktitle = SOCG,
year = 1998,
pages-omit = {39--48},
site = {Minneapolis}
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author = {N. Amenta and R. Kolluri},
title = {Accurate and efficient unions of balls},
booktitle = SOCG,
year = 2000,
pages-omit = {119--128}
}
@INPROCEEDINGS{Ameur95,
author = {Foued Ameur},
title = {A space-bounded learning algorithm for axis-parallel
rectangles},
booktitle = {Computational Learning Theory: EuroColt '95},
year = 1995,
pages-omit = {313--321},
publisher-omit = {Springer-Verlag}
}
@INPROCEEDINGS{AmothCuTa98,
author = {Thomas R. Amoth and Paul Cull and Prasad Tadepalli},
title = {Exact learning of tree patterns from queries and
counterexamples},
booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory},
year = 1998,
pages-omit = {175--186},
publisher-omit = {ACM Press, New York, NY}
}
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author = {Thomas R. Amoth and Paul Cull and Prasad Tadepalli},
title = {Exact learning of unordered tree patterns from
queries},
booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory},
year = 1999,
pages-omit = {323--332},
publisher-omit = {ACM Press, New York, NY}
}
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author = {Amsterdam, Jonathan},
title = {The Valiant Learning Model: Extensions and
Assessment},
school = {MIT Department of Electrical Engineering and
Computer Science},
year = 1988,
month-omit = Jan
}
@INPROCEEDINGS{Amsterdam88b,
author = {Amsterdam, Jonathan},
title = {Some Philosophical Problems with Formal Learning
Theory},
booktitle = {Proceedings AAAI-88},
year = 1988,
pages-omit = {580--584},
address-omit = {Saint Paul, Minn.},
month-omit = {aug},
organization = {American Association for Artificial Intelligence},
comment = {A philosophical attack on computational learning
theory}
}
@INPROCEEDINGS{Amsterdam88c,
author = {Amsterdam, J.},
title = {Extending the {V}aliant Learning Model},
booktitle = {Proceeding of the Fifth International Workshop on
Machine Learning},
year = 1988,
pages-omit = {364--375},
month-omit = Jun,
tag = {TOC-display}
}
@INPROCEEDINGS{AnandKa93,
author = {T. Anand and G. Kahn},
title = {Opportunity Explorer: Navigating Large Databases
Using Knowledge Discovery Templates},
booktitle = {Proceedings of the 1993 workshop on Knowledge
Discovery in Databases},
year = 1993
}
@INPROCEEDINGS{Anderson99,
author = {John R. Anderson},
title = {{ACT-R} and learning},
booktitle = {Proc. 16th International Conf. on Machine Learning},
year = 1999,
pages-omit = 522,
publisher-omit = {Morgan Kaufmann, San Francisco, CA}
}
@INPROCEEDINGS{AndersonDoWe02,
author = {C. R. Anderson and P. Domingos and D. S. Weld},
title = {Relational {Markov} Models and their Application to
Adaptive Web Navigation},
booktitle = {Proceedings of the Eighth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining
(KDD-2002)},
year = 2002,
keywords = {Web Log, Web Usage Mining, User Modeling, Markov
Models, Adaptive Web Sites},
location-omit = {Edmonton, Alberta, Canada}
}
@ARTICLE{AndersonMa92,
author = {John R. Anderson and Michael Matessa},
title = {Explorations of an Incremental, Bayesian Algorithm
for Categorization},
journal = {Machine Learning},
year = 1992,
volume-omit = 9,
pages-omit = {275--308},
publisher-omit = {Kluwer Academic Publishers, Boston}
}
@BOOK{AndersonRo88,
title = {Neurocomputing: Foundations of Research},
publisher-omit = {MIT Press},
year = 1988,
editor = {Anderson, James A. and Rosenfeld, Edward}
}
@article{AndoZh05,
author = {Rie Kubota Ando and Tong Zhang},
title = {A Framework for Learning Predictive Structures from
Multiple Tasks and Unlabeled Data},
journal = {J. Mach. Learn. Res.},
volume-omit = 6,
year = 2005,
issn = {1533-7928},
pages-omit = {1817--1853},
publisher-omit = {MIT Press},
address-omit = {Cambridge, MA, USA},
}
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author = {R. Ando and T. Zhang},
title = {Two-view feature generation model for
semi-supervised learning},
booktitle = ICML,
year = 2007,
editor = {Zoubin Ghahramani},
pages-omit = {25--32},
publisher-omit = {Omnipress},
location-omit = {Corvallis, OR}
}
@TECHREPORT{Andreae85,
author = {Andreae, Peter Merrett},
title = {Justified Generalization: Acquiring Procedures from
Examples},
institution = {MIT Artificial Intelligence Laboratory},
year = 1985,
number-omit = {AI-TR-834},
month-omit = 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-omit = {33--40},
publisher-omit = {Omnipress},
location-omit = {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-omit = 106,
pages-omit = {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-omit = 39,
pages-omit = {337--350},
number-omit = 3
}
@ARTICLE{Angluin80,
author = {Angluin, Dana},
title = {Inductive Inference of Formal Languages from
Positive Data},
journal = InfCtrl,
year = 1980,
volume-omit = 45,
pages-omit = {117--135},
number-omit = 2,
month-omit = 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-omit = 21,
pages-omit = {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-omit = 51,
pages-omit = {76--87}
}
@ARTICLE{Angluin82,
author = {D. Angluin},
title = {Inference of Reversible Languages},
journal = {J. ACM},
year = 1982,
volume-omit = 29,
pages-omit = {741--765},
number-omit = 3,
month-omit = 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-omit = 51,
pages-omit = {76--87}
}
@TECHREPORT{Angluin86,
author = {Angluin, Dana},
title = {Types of queries for concept learning},
institution = {Yale University Department of Computer Science},
year = 1986,
number-omit = {YALEU/DCS/TR-479},
month-omit = 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-omit = 591
}
@TECHREPORT{Angluin87a,
author = {D. Angluin},
title = {Learning $k$-Bounded Context-Free Grammars},
institution = {Department of Computer Science, Yale University},
year = 1987,
number-omit = {YALEU/ DCS/RR-557},
month-omit = aug
}
@UNPUBLISHED{Angluin87b,
author = {Angluin, D.},
title = {A Note on Diversity},
note = {Unpublished},
month-omit = 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-omit = {YALEU/DCS/RR-590},
month-omit = 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-omit = {YALEU/DCS/RR-559},
month-omit = Aug
}
@ARTICLE{Angluin87e,
author = {D. Angluin},
title = {Learning Regular Sets from Queries and
Counterexamples},
journal = {Inform. Comput.},
year = 1987,
volume-omit = 75,
pages-omit = {87--106},
number-omit = 2,
month-omit = 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-omit = {YALEU/DCS/RR-659},
month-omit = nov
}
@TECHREPORT{Angluin88a,
author = {D. Angluin},
title = {Identifying languages from stochastic examples},
institution = {Yale University, Dept. of Computer Science},
year = 1988,
number-omit = {YALEU/ DCS/RR-614},
address-omit = {New Haven, CT}
}
@INPROCEEDINGS{Angluin88b,
author = {D. Angluin},
title = {Learning with hints},
booktitle = {Proc. 1st Annu. Workshop on Comput. Learning Theory},
year = 1988,
pages-omit = {167--181},
address-omit = {San Mateo, CA},
publisher-omit = {Morgan Kaufmann}
}
@ARTICLE{Angluin88c,
author = {D. Angluin},
title = {Queries and Concept Learning},
journal = {Machine Learning},
year = 1988,
volume-omit = 2,
pages-omit = {319--342},
number-omit = 4,
month-omit = apr,
annote = {Preliminary version appeared as YALE/DCS/RR-479.},
publisher-omit = {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-omit = {134--145},
address-omit = {San Mateo, CA},
publisher-omit = {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-omit = 5,
pages-omit = {121--150},
annote = {Was Yale University TR YALEU/DCS/RR-648},
publisher-omit = {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-omit = {351--369},
publisher-omit = {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-omit = {YALEU/DCS/TR-1020},
month-omit = 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-omit = {298--308},
publisher-omit = {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-omit = {186--192},
address-omit = {St. Louis, Missouri},
month-omit = Oct,
publisher-omit = {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-omit = 9,
pages-omit = {147--164},
annote = {Earlier version in FOCS 1990 conference},
publisher-omit = {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-omit = 66,
pages-omit = {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-omit = 40,
pages-omit = {185-210},
number-omit = 1,
month-omit = 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-omit = {444--454},
address-omit = {New Orleans, Louisiana},
month-omit = 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-omit = 50,
pages-omit = {336--355},
number-omit = 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-omit = {57--66},
publisher-omit = {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-omit = {285--297},
publisher-omit = {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-omit = {YALEU/DCS/TR-478},
month-omit = 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-omit = 2,
pages-omit = {343--370},
number-omit = 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-omit = {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-omit = {139--146},
publisher-omit = {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-omit = 14,
pages-omit = {7--26},
publisher-omit = {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-omit = 15,
pages-omit = {237--269},
number-omit = 3,
month-omit = 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-omit = {J. Wiley and Sons, New York},
year = 1987,
pages-omit = {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-omit = 18,
pages-omit = {155--193},
number-omit = 2,
month-omit = 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-omit = {New Series Number 53},
series = {The Institute of Mathematics and its Applications
Conference Series},
pages-omit = {145--156},
address-omit = {Oxford},
publisher-omit = {Oxford University Press},
isbn-omit = {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-omit = {211--221},
publisher-omit = {Springer-Verlag}
}
@BOOK{AnthonyBa99,
title = {Neural Network Learning: Theoretical Foundations},
publisher-omit = {Cambridge},
year = 1999,
author = {M.~Anthony and P. L. Bartlett}
}
@BOOK{AnthonyBi92,
title = {Computational Learning Theory},
publisher-omit = {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-omit = {246--257},
address-omit = {San Mateo, CA},
publisher-omit = {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-omit = {158--164},
publisher-omit = {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-omit = {218--229},
publisher-omit = {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-omit = {CSD-TR-628},
address-omit = {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-omit = {New Series Number 53},
series = {The Institute of Mathematics and its Applications
Conference Series},
pages-omit = {94--108},
address-omit = {Oxford},
publisher-omit = {Oxford University Press},
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year = 1997,
pages-omit = {251--259},
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author = {Rohan A. Baxter and Jonathan J. Oliver},
title = {The kindest cut: minimum message length
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year = 1996,
volume-omit = 1160,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {83--90},
publisher-omit = {Springer-Verlag}
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year = 1998,
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author = {Andrew D. Beale},
title = {Lexicon and grammar in probabilistic tagging of
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booktitle = ANLP,
year = 1988
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month-omit = jul,
keywords = {Theory of Computation; Theory; Verification;
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pages-omit = {42--48},
month-omit = {Jul 3},
comment = {Proposes that change in weight w_ij from i to j goes
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negative below (say) avg(a_i)**2, and positive above
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year = 1992,
volume-omit = 39,
pages-omit = {599-616},
number-omit = 3,
month-omit = jul,
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author = {D. Beaver},
title = {Polynomially Sized Boolean Circuits are not
Learnable},
institution = {Aiken Computation Laboratory, Harvard University},
year = 1987,
number-omit = {TR-13-87},
month-omit = dec
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author = {Randall Dean Beer},
title = {Intelligence as Adaptive Behavior: An Experiment in
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school = {Case Western Reserve University},
year = 1989,
month-omit = Aug,
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neuralcircuitry}
}
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author = {Catriel Beeri and Phillip A. Bernstein and Nathan
Goodman},
title = {A Model for Concurrency in Nested Transaction
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journal = jacm,
year = 1989,
volume-omit = 36,
pages-omit = {230-269},
number-omit = 2,
month-omit = apr,
keywords = {Datbase Theory; Algorithms; Correctness;
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}
@ARTICLE{BeeriDoFaSt84,
author = {Beeri, C. and M. Dowd and R. Fagin and R. Statman},
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year = 1984,
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author = {Amos Beimel and Felix Geller and Eyal Kushilevitz},
title = {The query complexity of finding local minima in the
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booktitle = {Proc. 11th Annu. Conf. on Comput. Learning Theory},
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pages-omit = {294--302},
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comment = {first in 10th COLT '97},
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title = {Learning switching concepts},
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title = {An on-line algorithm for improving performance in
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comment = {first in 10th COLT '97},
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author = "Ido Dagan and Alon Itai",
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title = "Two languages are more informative than one",
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year = 1991
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author = "Ido Dagan and Alon Itai",
title = "A Statistical Filter for Resolving Pronoun
References",
booktitle = "Artificial Intelligence and Computer Vision",
editor = "Y. A. Feldman and A. Bruckstein",
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year = 1991,
note = "(The Proc. of the 7th Israeli Sym. on Artificial
Intelligence and Computer Vision, 1990)"
)
@PHDTHESIS{Dagan92,
author = {Ido Dagan},
title = {Multilingual Statistical Approaches for Natural
Language Disambiguation},
school = {Computer Science Department, Technion - Israel
Institute of Technology},
year = 1992,
address-omit = {Haifa},
month-omit = {May},
note = {(in Hebrew)}
}
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author = "Ido Dagan and Shaul Marcus and Shaul Markovitch",
title = "Contextual word similarity and estimation from
sparse data",
booktitle = ACL,
pages-omit = "164--171",
year = 1993
)
@inproceedings(Dagan93a,
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",
pages-omit = "1--8",
place = "Columbus, Ohio",
year = 1993
)
@ARTICLE{Dagan94,
author = {Ido Dagan and Alon Itai},
title = {Word Sense Disambiguation Using a Second Language
Monolingual Corpus},
journal = CL,
year = 1994,
volume-omit = 20,
pages-omit = {563--596},
number-omit = 4
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author = "Ido Dagan and Kenneth Church",
title = "{\it Termight}: Identifying and translating
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booktitle = ANLP,
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title = "Similarity-based estimation of word cooccurrence
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booktitle = ACL,
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year = 1994
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author = "Ido Dagan and Shaul Marcus and Shaul Markovitch",
title = "Contextual word similarity and estimation from
sparse data",
journal = CSL,
volume-omit = 9,
pages-omit = "123-152",
year = 1995
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@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)}"
}
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author = {Ido Dagan and Kenneth Church},
title = {{\it Termight}: Identifying and translating
technical terminology},
booktitle = ANLP,
year = 1994,
pages-omit = {34--40}
}
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author = {Ido Dagan and Kenneth Church and William Gale},
title = {Robust bilingual word alignment for machine aided
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booktitle = {Proceedings of the Workshop on Very Large Corpora:
Academic and Industrial Perspectives},
year = 1993,
pages-omit = {1--8},
place = {Columbus, Ohio}
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pages-omit = {330--332}
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author = {Ido Dagan and Alon Itai},
title = {A Statistical Filter for Resolving Pronoun
References},
booktitle = {Artificial Intelligence and Computer Vision},
publisher-omit = {Elsevier Science Publishers B.V.},
year = 1991,
editor = {Y. A. Feldman and A. Bruckstein},
pages-omit = {125--135},
note = {(The Proc. of the 7th Israeli Sym. on Artificial
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author = "Dagan, I. and A. Itai",
title = "Word Sense Disambiguation Using a Second Language
Monolingual Corpus",
journal = CL,
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complexity theory ; finite state automata;
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zero knowledge; }
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title = {Relational Reinforcement Learning},
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year = 2001,
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pages-omit = {5--52},
number-omit = {1/2},
month-omit = {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
}
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author = "W. J. Frawley and G. Piatetsky-Shapiro and
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title = "Knowledge discovery in databases: an overview",
booktitle = "Knowledge Discovery in Databases",
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year = 1990,
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author = {Rusins Freivalds and Ognian Botuscharov and Rolf
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note = {Special issue for AII '92}
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year = 1995,
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author = {R. Freivalds and M. Karpinski and C. H. Smith},
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year = 1994,
pages-omit = {190--197},
publisher-omit = {ACM Press, New York, NY}
}
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author = {R. Freivalds and E. B. Kinber},
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@ARTICLE{FreivaldsKiWi84,
author = {R. Freivalds and E. B. Kinber and R. Wiehagen},
title = {Connections between Identifying Functionals,
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@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
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@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
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pages-omit = {1--17}
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@ARTICLE{FreivaldsKiWi93,
author = {R. Freivalds and E. B. Kinber and R. Wiehagen},
title = {On the power of inductive inference from good
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year = 1993,
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number-omit = 1
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@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},
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year = 1995,
volume-omit = 961,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {25--48}
}
@ARTICLE{FreivaldsKiWi95a,
author = {R\={u}si\c{n}\v{s} Freivalds and Efim B. Kinber and
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title = {How Inductive Inference Strategies Discover Their
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number-omit = 2
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@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-omit = {Springer--Verlag},
year = 1995,
volume-omit = 961,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {49--62}
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author = {Rusins Freivalds and Carl Smith},
title = {Memory Limited Inductive Inference Machines},
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year = 1992,
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series = {Lecture Notes in Computer Science},
pages-omit = {19--29},
publisher-omit = {Springer-Verlag}
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author = {R. Freivalds and C. H. Smith},
title = {On the duality between mechanistic learners and what
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booktitle = {Proc. 4th Int. Workshop on Algorithmic Learning
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volume-omit = 744,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {137--149},
publisher-omit = {Springer-Verlag}
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@ARTICLE{FreivaldsSm93a,
author = {R. Freivalds and C. H. Smith},
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number-omit = 2,
annote = {Was in COLT 1992 pages 363--376 and Univ. of
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}
@ARTICLE{FreivaldsSmVe89,
author = {R. Freivalds and C. H. Smith and M. Velauthapillai},
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Data},
booktitle = {Proc.~Perspectives of System Informatics,'' Second
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year = 1996,
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publisher-omit = {Springer--Verlag},
note = {Lecture Notes in Computer Science 1181. Also TR
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}
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title = {Unsupervised Learning of Distributions on Binary
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year = 1997,
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year = 1999,
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title = {The alternating decision tree learning algorithm,},
booktitle = {Proc. 16th International Conf. on Machine Learning},
year = 1999,
pages-omit = {124--133},
publisher-omit = {Morgan Kaufmann, San Francisco, CA}
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title = {Continuous Drifting Games},
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year = 2000,
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author = {Yoav Freund and Dana Ron},
title = {Learning to model sequences generated by switching
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booktitle = {Proc. 8th Annu. Conf. on Comput. Learning Theory},
year = 1995,
pages-omit = {41--50},
publisher-omit = {ACM Press, New York, NY}
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author = {Yoav Freund and Robert E. Schapire},
title = {Experiments with a new Boosting algorithm},
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year = 1996,
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publisher-omit = {Morgan Kaufmann}
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title = {Game theory, on-line prediction and boosting},
booktitle = {Proc. 9th Annu. Conf. on Comput. Learning Theory},
year = 1996,
pages-omit = {325--332},
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author = {William Gale and Kenneth Church},
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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-omit = {193--202},
month-omit = Oct,
publisher-omit = {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-omit = {217--231},
address-omit = {San Mateo, CA},
publisher-omit = {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-omit = 22,
pages-omit = {705--726},
number-omit = 4,
month-omit = 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-omit = 1720,
series = {Lecture Notes in Artificial Intelligence},
pages-omit = {347--363},
publisher-omit = {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-omit = {325--333},
publisher-omit = {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-omit = {231--242},
publisher-omit = {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-omit = {77--84},
publisher-omit = {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-omit = 52,
pages-omit = {255--267},
number-omit = 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-omit = {Kluwer Academic Publishers},
year = 1988,
editor = {G. J. Erickson and C. R. Smith},
volume-omit = 2,
pages-omit = {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-omit = {Elsevier Science B.V. North-Holland},
year = 1988,
volume-omit = 2,
pages-omit = {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-omit = {46--51},
address-omit = {Research Triangle Park, NC},
month-omit = Oct,
publisher-omit = {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-omit = 22,
pages-omit = {1006--1034},
number-omit = 5,
month-omit = 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-omit = 37,
pages-omit = {5--49},
number-omit = 1,
comment = {first in 13th ICML '96},
publisher-omit = {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-omit = {WUCS-91-92},
month-omit = Jun
}
@ARTICLE{GoldmanSl94,
author = {S. A. Goldman and R. H. Sloan},
title = {The Power of Self-Directed Learning},
journal = {Machine Learning},
year = 1994,
volume-omit = 14,
pages-omit = {271--294},
number-omit = 3,
annote = {Was WUCS-92-49},
publisher-omit = {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-omit = 14,
pages-omit = {70--84},
number-omit = 1,
month-omit = jul
}
@INPROCEEDINGS{GoldmanWa93,
author = {S.~Goldman and M.~Warmuth},
title = {Learning binary relations using weighted majority
voting},
booktitle = COLT,
year = 1993,
pages-omit = {453--462},
publisher-omit = {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-omit = 20,
pages-omit = {245--271},
number-omit = 3,
note = {Earlier version in 6th COLT, 1993},
publisher-omit = {Kluwer Academic Publishers, Boston}
}
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author = {Oded Goldreich and Silvio Micali and Avi Wigderson},
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journal = jacm,
year = 1991,
volume-omit = 38,
pages-omit = {691-729},
number-omit = 3,
month-omit = 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
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title = {Learning polynomials with queries: the highly noisy
case},
booktitle = {Proc. of the 36th Annual Symposium on Foundations of
Computer Science},
year = 1995,
pages-omit = {294--303},
publisher-omit = {IEEE Computer Society Press, Los Alamitos, CA}
}
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author = {Goldwater, Sharon and Griffiths, Tom},
title = {A fully Bayesian approach to unsupervised
part-of-speech tagging},
booktitle = ACL,
year = 2007,
pages-omit = {744--751},
address-omit = {Prague, Czech Republic},
month-omit = {June},
publisher-omit = {Association for Computational Linguistics},
url-omit = {http://www.aclweb.org/anthology/P/P07/P07-1094}
}
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author = {Mostefa Golea},
title = {Average case analysis of a learning algorithm for
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booktitle = {Computational Learning Theory: EuroColt '95},
year = 1995,
pages-omit = {342--356},
publisher-omit = {Springer-Verlag}
}
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chapter = 14,
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study},
publisher-omit = {MIT Press},
year = 1997,
author = {Mostefa Golea},
volume-omit = {IV: Making Learning Systems Practical},
booktitle = {Computational Learning Theory and Natural Learning
Systems}
}
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nonoverlapping perceptron networks},
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year = 1993,
pages-omit = {151--157},
publisher-omit = {ACM Press, New York, NY}
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author = {M. Golea and M. Marchand},
title = {On Learning Simple Deterministic and Probabilistic
Neural Concepts},
booktitle = {Computational Learning Theory: EuroColt '93},
year = 1994,
volume-omit = {New Series Number 53},
series = {The Institute of Mathematics and its Applications
Conference Series},
pages-omit = {47--60},
address-omit = {Oxford},
publisher-omit = {Oxford University Press},
isbn-omit = {0 19 853492 2}
}
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title = {Neural and automata networks},
publisher-omit = {Kluwer academic publishers},
year = 1990,
author = {Goles, E. and Martinez, S.},
comment = {QA267.5.c45g65, Cabot}
}
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year = 1996,
author = {G. H. Golub and C. F. van Loan},
address-omit = {Baltimore, MD},
edition = {3nd}
}
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distance},
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title = {Syntactic Pattern Recognition, An Introduction},
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year = 1978,
author = {R. C. Gonzalez and M. G. Thomason}
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especially for multidimensional contingency tables},
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year = 1963,
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pages-omit = {911-934},
comment = {Uses maximum entropy to judge order of interactions,
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title = {A Derivation of the Probabilistic Explication of
Information},
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year = 1966,
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comment = {Argues from an axiomatic framework that I(H:E|G),
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monotonic variation of this.}
}
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author = {Good, I. J.},
title = {The Probabilistic Explication of Information,
Evidence, Surprise, Causality, Explanation, and
Utility},
booktitle = {Foundations of Statistical Inference},
year = 1971,
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pages-omit = {108--141},
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title = {Handbook of Discrete and Computational Geometry},
publisher-omit = {CRC Press LLC},
year = 1997,
editor = {J. E. Goodman and J. O'Rourke},
comments = {52 chapters, xiv + 991 pages; publication: 6 July
1997},
location-omit = {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-omit = {261--268},
publisher-omit = {Morgan Kaufmann}
}
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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-omit = {224--232},
publisher-omit = {Morgan Kaufmann, San Francisco, CA}
}
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author = {Geoffrey J. Gordon},
title = {Regret bounds for prediction problems},
booktitle = {Proc. 12th Annu. Conf. on Comput. Learning Theory},
year = 1999,
pages-omit = {29--40},
publisher-omit = {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}
}
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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-omit = {200--206},
publisher-omit = {Morgan Kaufmann}
}
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author = {J. Gordon and E. H. Shortliffe},
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Hierarchical Hypothesis Space},
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year = 1985,
volume-omit = 26,
pages-omit = {323--357},
number-omit = 3,
month-omit = 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-omit = {192--199},
address-omit = {Prague, Czech Republic},
month-omit = {June},
publisher-omit = {Association for Computational Linguistics},
url-omit = {http://www.aclweb.org/anthology/P/P07/P07-1025}
}
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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-omit = 14,
pages-omit = {76--86},
number-omit = 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}
}
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publisher-omit = {Morgan Kaufmann, San Francisco}
}
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author = {T. Graepel, R. Herbrich and R. C. Williamson},
title = {From Margin to Sparsity},
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pages-omit = {xxx--yyy},
publisher-omit = {MIT Press}
}
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author = {H. P. Graf and S. Satyanarayana and Y. Tsividis},
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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-omit = 37,
pages-omit = {474-490},
number-omit = 3,
month-omit = 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-omit = "Pittsburg",
month-omit = "June",
}
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author = {Albert G. Greenberg and Neal Madras},
title = {How Fair is Fair Queuing},
journal = jacm,
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volume-omit = 39,
pages-omit = {568-598},
number-omit = 3,
month-omit = jul,
keywords = {System Modeling and Analysis; Design; Management;
Performance; Theory; Verification; }
}
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title = {Multi-index hashing for information retrieval},
booktitle = FOCS,
year = 1994,
pages-omit = {722--731}
}
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author = {David Perry Greene and Stephen F. Smith},
title = {Competition-Based Induction of Decision Models from
Examples},
journal = {Machine Learning},
year = 1993,
volume-omit = 13,
pages-omit = {229--257},
publisher-omit = {Kluwer Academic Publishers, Boston}
}
@INPROCEEDINGS{GreeneYa86,
author = {D. H. Greene and F. F. Yao},
title = {Finite-resolution computational geometry},
booktitle = FOCS,
year = 1986,
pages-omit = {143--152}
}
@BOOK{Greengard88,
title = {The rapid evaluation of potential fields in particle
systems},
publisher-omit = {MIT Press},
year = 1988,
author = {L. Greengard},
address-omit = {Cambridge}
}
@ARTICLE{Grefenstette88,
author = {John J. Grefenstette},
title = {Credit Assignment in Rule Discovery Systems Based on
Genetic Algorithms},
journal = {Machine Learning},
year = 1988,
volume-omit = 3,
pages-omit = {225--245},
publisher-omit = {Kluwer Academic Publishers, Boston}
}
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author = {J. Grefenstette},
title = {Genetic algorithms and machine learning},
booktitle = {Proc. 6th Annu. Conf. on Comput. Learning Theory},
year = 1993,
pages-omit = {3--4},
publisher-omit = {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-omit = 5,
pages-omit = {355--381},
publisher-omit = {Kluwer Academic Publishers, Boston}
}
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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-omit = {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
}
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author = {J. Gregor},
title = {Data-driven inductive inference of finite-state
automata},
journal = {International Journal of Pattern Recognition and
Artificial Intelligence},
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volume-omit = 8,
pages-omit = {305--322},
number-omit = 1
}
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author = {Russell Greiner},
title = {Probabilistic Hill-Climbing: Theory and
Applications},
booktitle = {Proc. of the Ninth Canadian Conference on Artificial
Intelligence},
year = 1992,
pages-omit = {60--67},
address-omit = {Vancouver},
month-omit = jun,
publisher-omit = {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-omit = {269--277},
publisher-omit = {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-omit = 83,
number-omit = {1--2},
month-omit = jul,
publisher-omit = {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-omit = {216--224},
publisher-omit = {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-omit = 26,
number-omit = 3,
month-omit = 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-omit = {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-omit = {Rochester, NJ},
month-omit = apr,
publisher-omit = {Morgan Kaufmann}
}
@ARTICLE{GreinerOr96,
author = {Russell Greiner and Pekka Orponen},
title = {Probably Approximately Optimal Satisficing
Strategies},
journal = {Artificial Intelligence},
year = 1996,
volume-omit = 82,
pages-omit = {21--44},
number-omit = {1--2},
month-omit = apr
}
@INPROCEEDINGS{GreinerSc92,
author = {Russell Greiner and Dale Schuurmans},
title = {Learning useful {H}orn approximations},
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year = 1998,
type = {Technical {Report}},
number-omit = {330/98},
address-omit = {Tel-Aviv, Israel},
keywords = {convex-hull, discrete-hull}
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year = 1998
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title = {Trading Monotonicity Demands versus Mind Changes},
booktitle = {Proc. 2nd European Conference on Computational
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year = 1995,
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pages-omit = {125--139},
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author = {S. Lange and T. Zeugmann},
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number-omit = {LOGIC-95-4},
department = {Logic Group}
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author = {Matar, S.},
title = {Learning with Minimal Number of Queries},
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journal = jacm,
year = 1990,
volume-omit = 37,
pages-omit = {175-193},
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month-omit = jan,
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nonstandard models of arithmetic; NP-complete; the P
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title = {Lectures on Discrete Geometry},
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author = {J. Matou{\v s}ek},
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year = 1990,
volume-omit = 5,
pages-omit = {427--448}
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author = {J. Matou{\v s}ek},
title = {Approximations and optimal geometric
divide-and-conquer},
booktitle = STOC,
year = 1991,
pages-omit = {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-omit = {American Mathematical Society},
year = 1991,
editor = {J. E. Goodman and R. Pollack and W. Steiger},
pages-omit = {221--230},
address-omit = {Providence},
keywords = {centerpoint, parametric search, cutting, k-level}
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author = {J. Matou{\v s}ek},
title = {Efficient partition trees},
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year = 1992,
volume-omit = 8,
pages-omit = {315--334},
keywords = {simplex range searching, crossing number, multilevel
data structure, approximations}
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author = {J. Matou{\v s}ek},
title = {Epsilon-Nets and Computational Geometry},
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year = 1993,
editor = {J. Pach},
volume-omit = 10,
series = {Algorithms and Combinatorics},
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author = {J. Matou{\v s}ek},
title = {Range searching with efficient hierarchical
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year = 1993,
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year = 1998,
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pages-omit = {427--448},
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title = {Geometric Discrepancy},
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author = {J. Matou{\v s}ek and P. Plech{\' a}{\v c}},
title = {On functional separately convex hulls},
note = {To appear in Discrete Comput. Geom.},
year = 1997
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journal = {J. Comput. Syst. Sci.},
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volume-omit = 50,
pages-omit = {203--208},
number-omit = 2,
preliminary = {STOC::Matousek1991},
source =
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