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John D. Lafferty: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Doug Beeferman, Adam L. Berger, John D. Lafferty
    A Model of Lexical Attraction and Repulsion. [Citation Graph (0, 0)][DBLP]
    ACL, 1997, pp:373-380 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    ACL, 1993, pp:31-37 [Conf]
  3. Ezra Black, John D. Lafferty, Salim Roukos
    Development and Evaluation of a Broad-Coverage Probabilistic Grammar of English-Language Computer Manuals. [Citation Graph (0, 0)][DBLP]
    ACL, 1992, pp:185-192 [Conf]
  4. ChengXiang Zhai, John D. Lafferty
    Model-based Feedback in the Language Modeling Approach to Information Retrieval. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:403-410 [Conf]
  5. John D. Lafferty
    Additive Models, Boosting, and Inference for Generalized Divergences. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:125-133 [Conf]
  6. Shyjan Mahamud, Martial Hebert, John D. Lafferty
    Combining Simple Discriminators for Object Discrimination. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2002, pp:776-790 [Conf]
  7. Stephen Della Pietra, Vincent J. Della Pietra, J. Gillet, John D. Lafferty, Harry Printz, Lubos Ures
    Inference and Estimation of a Long-Range Trigram Model. [Citation Graph (0, 0)][DBLP]
    ICGI, 1994, pp:78-92 [Conf]
  8. David M. Blei, John D. Lafferty
    Dynamic topic models. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:113-120 [Conf]
  9. Avrim Blum, John D. Lafferty, Mugizi Robert Rwebangira, Rajashekar Reddy
    Semi-supervised learning using randomized mincuts. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  10. John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira
    Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:282-289 [Conf]
  11. John D. Lafferty, Xiaojin Zhu, Yan Liu
    Kernel conditional random fields: representation and clique selection. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  12. Risi Imre Kondor, John D. Lafferty
    Diffusion Kernels on Graphs and Other Discrete Input Spaces. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:315-322 [Conf]
  13. Guy Lebanon, John D. Lafferty
    Cranking: Combining Rankings Using Conditional Probability Models on Permutations. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:363-370 [Conf]
  14. Guy Lebanon, John D. Lafferty
    Hyperplane margin classifiers on the multinomial manifold. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  15. Pradeep D. Ravikumar, John Lafferty
    Quadratic programming relaxations for metric labeling and Markov random field MAP estimation. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:737-744 [Conf]
  16. Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
    Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:912-919 [Conf]
  17. Xiaojin Zhu, John D. Lafferty
    Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:1052-1059 [Conf]
  18. Adam L. Berger, Peter F. Brown, Stephen Della Pietra, Vincent J. Della Pietra, John R. Gillett, John D. Lafferty, Robert L. Mercer, Harry Printz, Lubos Ures
    The Candide System for Machine Translation. [Citation Graph (0, 0)][DBLP]
    HLT, 1994, pp:- [Conf]
  19. Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos
    Decision Tree Parsing using a Hidden Derivation Model. [Citation Graph (0, 0)][DBLP]
    HLT, 1994, pp:- [Conf]
  20. David M. Blei, John D. Lafferty
    Correlated Topic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  21. John D. Lafferty, Guy Lebanon
    Information Diffusion Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:375-382 [Conf]
  22. John D. Lafferty, Larry A. Wasserman
    Rodeo: Sparse Nonparametric Regression in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  23. G. Lebanon, J. Lafferty
    Boosting and Maximum Likelihood for Exponential Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:447-454 [Conf]
  24. Guy Lebanon, John D. Lafferty
    Conditional Models on the Ranking Poset. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:415-422 [Conf]
  25. Pradeep D. Ravikumar, John Lafferty
    Preconditioner Approximations for Probabilistic Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  26. Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty
    Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  27. Adam L. Berger, John D. Lafferty
    Information Retrieval as Statistical Translation. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1999, pp:222-229 [Conf]
  28. John D. Lafferty, ChengXiang Zhai
    Document Language Models, Query Models, and Risk Minimization for Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2001, pp:111-119 [Conf]
  29. ChengXiang Zhai, William W. Cohen, John D. Lafferty
    Beyond independent relevance: methods and evaluation metrics for subtopic retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:10-17 [Conf]
  30. ChengXiang Zhai, John D. Lafferty
    A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2001, pp:334-342 [Conf]
  31. ChengXiang Zhai, John D. Lafferty
    Two-stage language models for information retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:49-56 [Conf]
  32. John D. Lafferty, Daniel N. Rockmore
    Spectral Techniques for Expander Codes. [Citation Graph (0, 0)][DBLP]
    STOC, 1997, pp:160-167 [Conf]
  33. Adam L. Berger, John D. Lafferty
    The Weaver System for Document Retrieval. [Citation Graph (0, 0)][DBLP]
    TREC, 1999, pp:- [Conf]
  34. John D. Lafferty, Larry A. Wasserman
    Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:293-300 [Conf]
  35. Thomas P. Minka, John D. Lafferty
    Expectation-Propogation for the Generative Aspect Model. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:352-359 [Conf]
  36. 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. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 1990, v:16, n:2, pp:79-85 [Journal]
  37. Frederick Jelinek, John D. Lafferty
    Computation of the Probability of Initial Substring Generation by Stochastic Context-Free Grammars. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 1991, v:17, n:3, pp:315-323 [Journal]
  38. Doug Beeferman, Adam L. Berger, John D. Lafferty
    Text Segmentation Using Exponential Models [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  39. Doug Beeferman, Adam L. Berger, John D. Lafferty
    A Model of Lexical Attraction and Repulsion [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  40. ChengXiang Zhai, John D. Lafferty
    A risk minimization framework for information retrieval. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2006, v:42, n:1, pp:31-55 [Journal]
  41. John D. Lafferty, Guy Lebanon
    Diffusion Kernels on Statistical Manifolds. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:129-163 [Journal]
  42. Doug Beeferman, Adam L. Berger, John D. Lafferty
    Statistical Models for Text Segmentation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:34, n:1-3, pp:177-210 [Journal]
  43. Stephen Della Pietra, Vincent J. Della Pietra, John D. Lafferty
    Inducing Features of Random Fields. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1997, v:19, n:4, pp:380-393 [Journal]
  44. James Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Rich Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai
    Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. [Citation Graph (0, 0)][DBLP]
    SIGIR Forum, 2003, v:37, n:1, pp:31-47 [Journal]
  45. W. Bruce Croft, James P. Callan, John D. Lafferty
    Workshop on language modeling and information retrieval. [Citation Graph (0, 0)][DBLP]
    SIGIR Forum, 2001, v:35, n:1, pp:4-6 [Journal]
  46. John D. Lafferty, Alexander Vardy
    Ordered Binary Decision Diagrams and Minimal Trellises. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1999, v:48, n:9, pp:971-987 [Journal]
  47. ChengXiang Zhai, John D. Lafferty
    A study of smoothing methods for language models applied to information retrieval. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2004, v:22, n:2, pp:179-214 [Journal]
  48. Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung
    Multiscale topic tomography. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:520-529 [Conf]
  49. Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty
    High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1465-1472 [Conf]
  50. Pradeep Ravikumar, John D. Lafferty
    Variational Chernoff Bounds for Graphical Models. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:462-469 [Conf]
  51. Shuheng Zhou, John Lafferty, Larry Wasserman
    Compressed Regression [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  52. Computationally Efficient M-Estimation of Log-Linear Structure Models. [Citation Graph (, )][DBLP]


  53. Conditional random fields for activity recognition. [Citation Graph (, )][DBLP]


  54. Time Varying Undirected Graphs. [Citation Graph (, )][DBLP]


  55. Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. [Citation Graph (, )][DBLP]


  56. Large-scale collaborative prediction using a nonparametric random effects model. [Citation Graph (, )][DBLP]


  57. Compressed Regression. [Citation Graph (, )][DBLP]


  58. SpAM: Sparse Additive Models. [Citation Graph (, )][DBLP]


  59. Statistical Analysis of Semi-Supervised Regression. [Citation Graph (, )][DBLP]


  60. Nonparametric regression and classification with joint sparsity constraints. [Citation Graph (, )][DBLP]


  61. Fast nonparametric matrix factorization for large-scale collaborative filtering. [Citation Graph (, )][DBLP]


  62. Feature selection in conditional random fields for activity recognition. [Citation Graph (, )][DBLP]


  63. Inducing Features of Random Fields [Citation Graph (, )][DBLP]


  64. A Robust Parsing Algorithm For Link Grammars [Citation Graph (, )][DBLP]


  65. Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models [Citation Graph (, )][DBLP]


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