Learning Bayesian Networks with Discrete Variables from Data

Peter Spirtes and Christopher Meek, Carnegie Mellon University

This paper describes a new greedy Bayesian search algorithm (GBPS) and a new combined" algorithm PC+GBPS for learning Bayesian networks. Simulation tests of these algorithms with previously published algorithms are presented.

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