Models and Selection Criteria for Regression and Classification (1997)

Cached

Download Links

by David Heckerman , Christopher Meek
Venue:Uncertainty in Arificial Intelligence 13
Citations:23 - 2 self

Active Bibliography

54 Stratified exponential families: Graphical models and model selection – Dan Geiger, David Heckerman, Henry King, Christopher Meek - 2001
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
8 Embedded Bayesian Network Classifiers – David Heckerman, Christopher Meek - 1997
175 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
563 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
156 Modelling gene expression data using dynamic bayesian networks – Kevin Murphy, Saira Mian - 1999
219 The Bayesian Structural EM Algorithm – Nir Friedman - 1998
11 Learning hybrid Bayesian networks from data – Stefano Monti, Gregory F. Cooper - 1998
12 Population Markov Chain Monte Carlo – Kathryn Blackmond Laskey, James Myers - 2003
Aspects of the Interface between STatistics and . . . – Matt Whiley - 1999
158 Adaptive Probabilistic Networks with Hidden Variables – John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa, Padhraic Smyth - 1997
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
14 Conjoint Probabilistic Subband Modeling – Ashok Chhabedia Popat - 1997
19 A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection – David Heckerman, David Maxwell Chickering - 1996
3 Some Bayesian perspectives on statistical modelling – Nicholas G. Polson - 1988
5 Effective Dimensions of Hierarchical Latent Class Models – Nevin L. Zhang, Tomas Kocka - 2002
19 Graphical models and exponential families – Dan Geiger, Christopher Meek - 1998
2 Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System – Heping Pan, Daniel McMichael, Marta Lendjel - 1997
25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997