Learning Bayesian Networks

Richard E. Neapolitan

ISBN 10: 0130125342 / ISBN 13: 9780130125347

Published by Prentice Hall, 2003

About this Item

illustrated edition. 674 pages. 9.75x7.75x0.75 inches. In Stock.

Seller Inventory # 0130125342

Bibliographic Details

• Title: Learning Bayesian Networks
• Publisher: Prentice Hall
• Publication Date: 2003
• Language: English
• ISBN 10: 0130125342
• ISBN 13: 9780130125347
• Binding: Paperback
• Condition: Brand New
• Weight: 1.18 kilograms

About this title

Synopsis

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.

About the Author

Richard E. Neapolitan has been a researcher in Bayesian networks and the area of uncertainty in artificial intelligence since the mid-1980s. In 1990, he wrote the seminal text, Probabilistic Reasoning in Expert Systems, which helped to unify the field of Bayesian networks. Dr. Neapolitan has published numerous articles spanning the fields of computer science, mathematics, philosophy of science, and psychology. Dr. Neapolitan is currently professor and chair of Computer Science at Northeastern Illinois University.