ABSTRACT
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors dis
TABLE OF CONTENTS
part |2 pages
I PROBABILISTIC REASONING
part |4 pages
II LEARNING CAUSAL MODELS
part |4 pages
III KNOWLEDGE ENGINEERING