Learning Bayesian Networks

Learning Bayesian Networksoffers the first accessible and unified text on the study and application of Bayesian networks. This book serves as a key textbook or reference for anyone with an interest in probabilistic modeling in the fields of computer science, computer engineering, and electrical engineering. This text is also a valuable supplemental resource for courses on expert systems, machine learning, and artificial intelligence. Appropriate for classroom teaching or self-instruction, the text is organized to provide fundamental concepts in an accessible, practical format. Beginning with a basic theoretical introduction, the author then provides a comprehensive discussion of inference, methods of learning, and applications based on Bayesian networks and beyond. Learning Bayesian Networks: Includes hundreds of examples and problems Makes learning easy by introducing complex concepts through simple examples Clarifies with separate discussions on statistical development of Bayesian networks and application to causalityNeapolitan, Richard E. is the author of 'Learning Bayesian Networks', published 2003 under ISBN 9780130125347 and ISBN 0130125342.