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Note: Links lead to the DBLP on the Web. John D. Lafferty 23 Shyjan Mahamud , Martial Hebert , John D. Lafferty: Combining Simple Discriminators for Object Discrimination. ECCV (3) 2002 : 776-790 22 Risi Imre Kondor , John D. Lafferty: Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML 2002 : 315-322 21 Guy Lebanon , John D. Lafferty: Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML 2002 : 363-370 20 Chengxiang Zhai , John D. Lafferty: Two-stage language models for information retrieval. SIGIR 2002 : 49-56 19 Thomas P. Minka , John D. Lafferty: Expectation-Propogation for the Generative Aspect Model. UAI 2002 : 352-359 18 Chengxiang Zhai , John D. Lafferty: Model-based Feedback in the Language Modeling Approach to Information Retrieval. CIKM 2001 : 403-410 17 John D. Lafferty, Andrew McCallum , Fernando C. N. Pereira : Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001 : 282-289 16 John D. Lafferty, Chengxiang Zhai : Document Language Models, Query Models, and Risk Minimization for Information Retrieval. SIGIR 2001 : 111-119 15 Chengxiang Zhai , John D. Lafferty: A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. SIGIR 2001 : 334-342 14 John D. Lafferty, Larry A. Wasserman : Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. UAI 2001 : 293-300 13 John D. Lafferty: Additive Models, Boosting, and Inference for Generalized Divergences. COLT 1999 : 125-133 12 Adam L. Berger , John D. Lafferty: Information Retrieval as Statistical Translation. SIGIR 1999 : 222-229 11 Adam Berger , John D. Lafferty: The Weaver System for Document Retrieval. TREC 1999 10 John D. Lafferty, Alexander Vardy : Ordered Binary Decision Diagrams and Minimal Trellises. IEEE Transactions on Computers 48 (9): 971-987 (1999) 9 Doug Beeferman , Adam L. Berger , John D. Lafferty: Statistical Models for Text Segmentation. Machine Learning 34 (1-3): 177-210 (1999) 8 Doug Beeferman , Adam L. Berger , John D. Lafferty: A Model of Lexical Attraction and Repulsion. ACL 1997 : 373-380 7 John D. Lafferty, Daniel N. Rockmore : Spectral Techniques for Expander Codes. STOC 1997 : 160-167 6 Stephen Della Pietra , Vincent J. Della Pietra , John D. Lafferty: Inducing Features of Random Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (4): 380-393 (1997) 5 Stephen Della Pietra , Vincent J. Della Pietra , J. Gillet , John D. Lafferty, H. Printz , L. Ures : Inference and Estimation of a Long-Range Trigram Model. ICGI 1994 : 78-92 4 Ezra Black , Frederick Jelinek , John D. Lafferty, David M. Magerman , Robert L. Mercer , Salim Roukos : Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing. ACL 1993 : 31-37 3 Ezra Black , John D. Lafferty, Salim Roukos : Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals. ACL 1992 : 185-192 2 Frederick Jelinek , John D. Lafferty: Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars. Computational Linguistics 17 (3): 315-323 (1991) 1 Peter F. Brown , John Cocke , Stephen Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , John D. Lafferty, Robert L. Mercer , Paul S. Roossin : A Statistical Approach to Machine Translation. Computational Linguistics 16 (2): 79-85 (1990)  DiSC'03 © 2003 Association for Computing Machinery |
