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Note: Links lead to the DBLP on the Web. John D. Lafferty Xiaojin Zhu , Zoubin Ghahramani , John D. Lafferty: Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. ICML 2003 : 912-919 Cheng Xiang Zhai , William W. Cohen , John D. Lafferty: Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. SIGIR 2003 : 10-17 Shyjan Mahamud , Martial Hebert , John D. Lafferty: Combining Simple Discriminators for Object Discrimination. ECCV (3) 2002 : 776-790 Risi Imre Kondor , John D. Lafferty: Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML 2002 : 315-322 Guy Lebanon , John D. Lafferty: Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML 2002 : 363-370 Chengxiang Zhai , John D. Lafferty: Two-stage language models for information retrieval. SIGIR 2002 : 49-56 Thomas P. Minka , John D. Lafferty: Expectation-Propogation for the Generative Aspect Model. UAI 2002 : 352-359 Chengxiang Zhai , John D. Lafferty: Model-based Feedback in the Language Modeling Approach to Information Retrieval. CIKM 2001 : 403-410 John D. Lafferty, Andrew McCallum , Fernando C. N. Pereira : Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001 : 282-289 John D. Lafferty, Chengxiang Zhai : Document Language Models, Query Models, and Risk Minimization for Information Retrieval. SIGIR 2001 : 111-119 Chengxiang Zhai , John D. Lafferty: A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. SIGIR 2001 : 334-342 John D. Lafferty, Larry A. Wasserman : Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. UAI 2001 : 293-300 John D. Lafferty: Additive Models, Boosting, and Inference for Generalized Divergences. COLT 1999 : 125-133 Adam L. Berger , John D. Lafferty: Information Retrieval as Statistical Translation. SIGIR 1999 : 222-229 Adam Berger , John D. Lafferty: The Weaver System for Document Retrieval. TREC 1999 John D. Lafferty, Alexander Vardy : Ordered Binary Decision Diagrams and Minimal Trellises. IEEE Trans. Computers 48 (9): 971-987 (1999) Doug Beeferman , Adam L. Berger , John D. Lafferty: Statistical Models for Text Segmentation. Machine Learning 34 (1-3): 177-210 (1999) Doug Beeferman , Adam L. Berger , John D. Lafferty: A Model of Lexical Attraction and Repulsion. ACL 1997 : 373-380 John D. Lafferty, Daniel N. Rockmore : Spectral Techniques for Expander Codes. STOC 1997 : 160-167 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) 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 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 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 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) 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) 1 [ 8 ] [ 9 ] 2 [ 11 ] 3 [ 8 ] [ 9 ] [ 12 ] 4 [ 3 ] [ 4 ] 5 [ 1 ] 6 [ 1 ] 7 [ 24 ] 8 [ 25 ] 9 [ 5 ] 10 [ 23 ] 11 [ 1 ] [ 2 ] [ 4 ] 12 [ 22 ] 13 [ 21 ] 14 [ 4 ] 15 [ 23 ] 16 [ 17 ] 17 [ 1 ] [ 4 ] 18 [ 19 ] 19 [ 17 ] 20 [ 1 ] [ 5 ] [ 6 ] 21 [ 1 ] [ 5 ] [ 6 ] 22 [ 5 ] 23 [ 7 ] 24 [ 1 ] 25 [ 3 ] [ 4 ] 26 [ 5 ] 27 [ 10 ] 28 [ 14 ] 29 [ 24 ] 30 [ 15 ] [ 16 ] [ 18 ] [ 20 ] 31 [ 25 ]  ©2004 Association for Computing Machinery |
