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Everything you ever wanted to know about Linux, Open Source, Perl, Java, PHP etc. but never dared ask! Read and unleash your inner guru!
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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 Pearl's 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.
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