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Christopher Meek: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel Lowd, Christopher Meek
    Good Word Attacks on Statistical Spam Filters. [Citation Graph (0, 0)][DBLP]
    CEAS, 2005, pp:- [Conf]
  2. Donald Metzler, Susan T. Dumais, Christopher Meek
    Similarity Measures for Short Segments of Text. [Citation Graph (0, 0)][DBLP]
    ECIR, 2007, pp:16-27 [Conf]
  3. David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
    Efficient Determination of Dynamic Split Points in a Decision Tree. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:91-98 [Conf]
  4. Jake D. Brutlag, Christopher Meek
    Challenges of the Email Domain for Text Classification. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:103-110 [Conf]
  5. Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman
    Efficient approximations for learning phylogenetic HMM models from data. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:161-168 [Conf]
  6. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White
    Visualization of navigation patterns on a Web site using model-based clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:280-284 [Conf]
  7. Daniel Lowd, Christopher Meek
    Adversarial learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:641-647 [Conf]
  8. Heikki Mannila, Christopher Meek
    Global partial orders from sequential data. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:161-168 [Conf]
  9. Peter Spirtes, Christopher Meek
    Learning Bayesian Networks with Discrete Variables from Data. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:294-299 [Conf]
  10. Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
    Using epitomes to model genetic diversity: Rational design of HIV vaccines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  11. Christopher Meek, David Maxwell Chickering, David Heckerman
    Autoregressive Tree Models for Time-Series Analysis. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  12. Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos
    Identifying Similarities, Periodicities and Bursts for Online Search Queries. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:131-142 [Conf]
  13. Ann Becker, Dan Geiger, Christopher Meek
    Perfect Tree-like Markovian Distributions. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:19-23 [Conf]
  14. David Maxwell Chickering, David Heckerman, Christopher Meek
    A Bayesian Approach to Learning Bayesian Networks with Local Structure. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:80-89 [Conf]
  15. David Maxwell Chickering, Christopher Meek
    Finding Optimal Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:94-102 [Conf]
  16. David Maxwell Chickering, Christopher Meek, David Heckerman
    Large-Sample Learning of Bayesian Networks is NP-Hard. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:124-133 [Conf]
  17. Dan Geiger, David Heckerman, Christopher Meek
    Asymptotic Model Selection for Directed Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:283-290 [Conf]
  18. Dan Geiger, Christopher Meek
    Quantifier Elimination for Statistical Problems. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:226-235 [Conf]
  19. Dan Geiger, Christopher Meek, Bernd Sturmfels
    Factorization of Discrete Probability Distributions. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:162-169 [Conf]
  20. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
    Dependency Networks for Collaborative Filtering and Data Visualization. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:264-273 [Conf]
  21. David Heckerman, Christopher Meek
    Models and Selection Criteria for Regression and Classification. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:223-228 [Conf]
  22. Carl Myers Kadie, Christopher Meek, David Heckerman
    CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:242-250 [Conf]
  23. Christopher Meek
    Causal inference and causal explanation with background knowledge. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:403-410 [Conf]
  24. Christopher Meek
    Strong completeness and faithfulness in Bayesian networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:411-418 [Conf]
  25. Christopher Meek, David Maxwell Chickering
    Practically Perfect. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:411-416 [Conf]
  26. Christopher Meek, David Heckerman
    Structure and Parameter Learning for Causal Independence and Causal Interaction Models. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:366-375 [Conf]
  27. Christopher Meek, Bo Thiesson, David Heckerman
    Staged Mixture Modelling and Boosting. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:335-343 [Conf]
  28. Peter Spirtes, Christopher Meek, Thomas Richardson
    Causal Inference in the Presence of Latent Variables and Selection Bias. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:499-506 [Conf]
  29. Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
    Learning Mixtures of DAG Models. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:504-513 [Conf]
  30. Andrew Zimdars, David Maxwell Chickering, Christopher Meek
    Using Temporal Data for Making Recommendations. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:580-588 [Conf]
  31. David Maxwell Chickering, Christopher Meek
    On the incompatibility of faithfulness and monotone DAG faithfulness. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:8-9, pp:653-666 [Journal]
  32. Gregory F. Cooper, Constantin F. Aliferis, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes
    An evaluation of machine-learning methods for predicting pneumonia mortality. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
  33. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White
    Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2003, v:7, n:4, pp:399-424 [Journal]
  34. Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek
    Structural Periodic Measures for Time-Series Data. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:1, pp:1-28 [Journal]
  35. Christopher Meek
    Finding a Path is Harder than Finding a Tree. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:383-389 [Journal]
  36. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie
    Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2000, v:1, n:, pp:49-75 [Journal]
  37. David Maxwell Chickering, David Heckerman, Christopher Meek
    Large-Sample Learning of Bayesian Networks is NP-Hard. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1287-1330 [Journal]
  38. Christopher Meek, Bo Thiesson, David Heckerman
    The Learning-Curve Sampling Method Applied to Model-Based Clustering. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:397-418 [Journal]
  39. Serkan Hosten, Christopher Meek
    Preface. [Citation Graph (0, 0)][DBLP]
    J. Symb. Comput., 2006, v:41, n:2, pp:123-124 [Journal]
  40. Bo Thiesson, Christopher Meek, David Heckerman
    Accelerating EM for Large Databases. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:45, n:3, pp:279-299 [Journal]
  41. Hila Becker, Christopher Meek, David Maxwell Chickering
    Modeling Contextual Factors of Click Rates. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1310-1315 [Conf]
  42. Wen-tau Yih, Christopher Meek
    Improving Similarity Measures for Short Segments of Text. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1489-1494 [Conf]
  43. Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
    ARMA Time-Series Modeling with Graphical Models. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:552-560 [Conf]
  44. Dan Geiger, Christopher Meek, Ydo Wexler
    A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:27, n:, pp:1-23 [Journal]

  45. Hierarchical Probabilistic Segmentation of Discrete Events. [Citation Graph (, )][DBLP]


  46. Searching large indexes on tiny devices: optimizing binary search with character pinning. [Citation Graph (, )][DBLP]


  47. Usability guided key-target resizing for soft keyboards. [Citation Graph (, )][DBLP]


  48. Partitioned logistic regression for spam filtering. [Citation Graph (, )][DBLP]


  49. MAS: a multiplicative approximation scheme for probabilistic inference. [Citation Graph (, )][DBLP]


  50. Inference for Multiplicative Models. [Citation Graph (, )][DBLP]


  51. Mining recommendations from the web. [Citation Graph (, )][DBLP]


  52. Tied boltzmann machines for cold start recommendations. [Citation Graph (, )][DBLP]


  53. A unified approach to building hybrid recommender systems. [Citation Graph (, )][DBLP]


  54. Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. [Citation Graph (, )][DBLP]


  55. Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. [Citation Graph (, )][DBLP]


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