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David Heckerman, Dan Geiger, David Maxwell Chickering : Learning Bayesian Networks: The Combination of Knowledge and Statistical Data CoRR abs/1302.6815(): (2013)
David Heckerman, Dan Geiger, David Maxwell Chickering : Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning (ML) 20(3):197-243 (1995)
David Heckerman, Dan Geiger, David Maxwell Chickering : Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI 1994
David Heckerman, Dan Geiger, David Maxwell Chickering : Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop (KDD) 1994
David Maxwell Chickering, David Heckerman : Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables. Machine Learning (ML) 29(2-3):181-212 (1997)
David Maxwell Chickering, David Heckerman, Christopher Meek : A Bayesian Approach to Learning Bayesian Networks with Local Structure CoRR abs/1302.1528(): (2013)
David Maxwell Chickering, David Heckerman, Christopher Meek : A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997
David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie : Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. Journal of Machine Learning Research (JMLR) 1():49-75 (2000)
David Maxwell Chickering : Optimal Structure Identification With Greedy Search. Journal of Machine Learning Research (JMLR) 3():507-554 (2002)
David Maxwell Chickering : Learning Equivalence Classes of Bayesian-Network Structures. Journal of Machine Learning Research (JMLR) 2():445-498 (2002)
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