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01/27/05
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Joining the AIVR seminar at 2pm, 2405 SC.
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02/03/05
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Kevin Small
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Robert E. Schapire.
The boosting approach to machine learning: An overview.
In MSRI Workshop on Nonlinear Estimation and Classification, 2002.
Room to be announced.
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02/10/05
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Nick Rizzolo
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Yoav Freund, Robert E. Schapire.
A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting
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02/17/05
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Yixin Chen
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Constraint Partitioning for AI Planning
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02/24/05
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Shivani Agarwal
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Boosting the margin: A new explanation for the effectiveness of voting methods (Schapire at al, 1998)
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03/03/05
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Steve Hanneke
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Rubin, Schapire, Daubechies, "Boosting Based on a Smooth Margin", COLT 2004.
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03/10/05
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Vasin Punyakanok
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Collins, M.,
"Three Generative Lexicalized Models for Statistical Parsing"
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03/17/05
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Xin Li
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Dan Klein and Chris Manning,
"
Accurate Unlexicalized Parsing
"
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03/31/05
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Michael Connor
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Taskar et al,
"
Max-margin parsing
"
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04/07/05
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Rodrigo de Salvo Braz
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Kersting, K., and DeRaedt, L.,
"
Probabilistic Inductive Logic Programming
"
,
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04/14/05
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Dav Zimak
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Paper on structured output (not circulating)
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04/21/05
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Wen-tau Yih
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Sato, T. and Kameya, Y.,
"
PRISM: A symbolic-statistical modeling language.
"
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04/28/05
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Yasemin Altun
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Large Margin Methods for Label Sequence Learning (2261 DCL)
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