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David Maxwell Chickering: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. David Heckerman, Dan Geiger, David Maxwell Chickering
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1995, v:20, n:3, pp:197-243 [Journal]
  2. David Maxwell Chickering, Judea Pearl
    A Clinician's Tool for Analyzing Non-Compliance. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1269-1276 [Conf]
  3. Richard E. Korf, David Maxwell Chickering
    Best-First Minimax Search: Othello Results. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:1365-1370 [Conf]
  4. 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]
  5. David Heckerman, Dan Geiger, David Maxwell Chickering
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:85-96 [Conf]
  6. Christopher Meek, David Maxwell Chickering, David Heckerman
    Autoregressive Tree Models for Time-Series Analysis. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  7. David Maxwell Chickering, David Heckerman
    Targeted advertising with inventory management. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Electronic Commerce, 2000, pp:145-149 [Conf]
  8. David Maxwell Chickering
    A Transformational Characterization of Equivalent Bayesian Network Structures. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:87-98 [Conf]
  9. David Maxwell Chickering
    Learning Equivalence Classes of Bayesian Network Structures. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:150-157 [Conf]
  10. David Maxwell Chickering, David Heckerman
    A Decision Theoretic Approach to Targeted Advertising. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:82-88 [Conf]
  11. David Maxwell Chickering, David Heckerman
    Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network. [Citation Graph (0, 0)][DBLP]
    UAI, 1996, pp:158-168 [Conf]
  12. David Maxwell Chickering, David Heckerman
    Fast Learning from Sparse Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:109-115 [Conf]
  13. 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]
  14. David Maxwell Chickering, Christopher Meek
    Finding Optimal Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:94-102 [Conf]
  15. 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]
  16. David Heckerman, Dan Geiger, David Maxwell Chickering
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1994, pp:293-301 [Conf]
  17. 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]
  18. Eric Horvitz, Yongshao Ruan, Carla P. Gomes, Henry A. Kautz, Bart Selman, David Maxwell Chickering
    A Bayesian Approach to Tackling Hard Computational Problems. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:235-244 [Conf]
  19. Christopher Meek, David Maxwell Chickering
    Practically Perfect. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:411-416 [Conf]
  20. 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]
  21. Andrew Zimdars, David Maxwell Chickering, Christopher Meek
    Using Temporal Data for Making Recommendations. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:580-588 [Conf]
  22. 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]
  23. Richard E. Korf, David Maxwell Chickering
    Best-First Minimax Search. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:84, n:1-2, pp:299-337 [Journal]
  24. David Maxwell Chickering, Dan Geiger, David Heckerman
    On Finding a Cycle Basis with a Shortest Maximal Cycle. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1995, v:54, n:1, pp:55-58 [Journal]
  25. 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]
  26. David Maxwell Chickering
    Learning Equivalence Classes of Bayesian-Network Structures. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:445-498 [Journal]
  27. David Maxwell Chickering
    Optimal Structure Identification With Greedy Search. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:507-554 [Journal]
  28. 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]
  29. David Maxwell Chickering, David Heckerman
    Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:181-212 [Journal]
  30. Hila Becker, Christopher Meek, David Maxwell Chickering
    Modeling Contextual Factors of Click Rates. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1310-1315 [Conf]
  31. 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]
  32. Kumar Chellapilla, David Maxwell Chickering
    Improving Cloaking Detection using Search Query Popularity and Monetizability. [Citation Graph (0, 0)][DBLP]
    AIRWeb, 2006, pp:17-23 [Conf]
  33. Tim Paek, David Maxwell Chickering
    Improving command and control speech recognition on mobile devices: using predictive user models for language modeling. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2007, v:17, n:1-2, pp:93-117 [Journal]
  34. David Maxwell Chickering, Tim Paek
    Personalizing influence diagrams: applying online learning strategies to dialogue management. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2007, v:17, n:1-2, pp:71-91 [Journal]

  35. Predicting the Importance of Newsfeed Posts and Social Network Friends. [Citation Graph (, )][DBLP]


  36. Incorporating user utility into sponsored-search auctions. [Citation Graph (, )][DBLP]


  37. Intentions: a game for classifying search query intent. [Citation Graph (, )][DBLP]


  38. Here or There. [Citation Graph (, )][DBLP]


  39. Picture this: preferences for image search. [Citation Graph (, )][DBLP]


  40. Learning consensus opinion: mining data from a labeling game. [Citation Graph (, )][DBLP]


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


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