Learning Bayesian Networks

In this first edition book methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearls message passing algorithm Parameter Learning: 2 Alternatives Parameter Learning r Alternatives Bayesian Structure Learning and Constraint-Based Learning. For expert systems developers and decision theorists.