Modeling and Reasoning with Bayesian Networks

Modeling and Reasoning with Bayesian Networks

Adnan Darwiche


This publication presents an intensive advent to the formal foundations and sensible functions of Bayesian networks. It presents an in depth dialogue of options for development Bayesian networks that version real-world events, together with recommendations for synthesizing versions from layout, studying types from info, and debugging types utilizing sensitivity research. It additionally treats distinct and approximate inference algorithms at either theoretical and useful degrees. the writer assumes little or no historical past at the coated topics, delivering in-depth discussions for theoretically prone readers and adequate functional information to supply an algorithmic cookbook for the method developer.

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