Models and Selection Criteria for Regression and Classification (1997)

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by David Heckerman , Christopher Meek
Venue:Uncertainty in Arificial Intelligence 13
Citations:24 - 2 self

Active Bibliography

872 A tutorial on learning with Bayesian networks – David Heckerman - 1995
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
607 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
1012 Bayes Factors – Robert E. Kass, Adrian E. Raftery - 1995
737 Hierarchical mixtures of experts and the EM algorithm – Michael I. Jordan - 1994
1054 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
550 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
516 Inductive Learning Algorithms and Representations for Text Categorization – Susan Dumais, John Platt, Mehran Sahami, David Heckerman - 1998
1073 Empirical Analysis of Predictive Algorithm for Collaborative Filtering – John S. Breese, David Heckerman, Carl Kadie - 1998