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Learning Bayesian Networks

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ISBN-10: 0130125342

ISBN-13: 9780130125347

Edition: 2004

Authors: Richard E. Neapolitan

List price: $179.99
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For courses in Bayesian Networks or Advanced Networking focusing on Bayesian networks found in departments of Computer Science, Computer Engineering and Electrical Engineering. Also appropriate as a supplementary text in courses on Expert Systems, Machine Learning, and Artificial Intelligence where the topic of Bayesian Networks is covered. This book provides an accessible and unified discussion of Bayesian networks. It includes discussions of topics related to the areas of artificial intelligence, expert systems and decision analysis, the fields in which Bayesian networks are frequently applied. The author discusses both methods for doing inference in Bayesian networks and influence…    
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Book details

List price: $179.99
Copyright year: 2004
Publisher: Prentice Hall PTR
Publication date: 5/14/2019
Binding: Paperback
Pages: 696
Size: 7.75" wide x 9.75" long x 0.75" tall
Weight: 2.882

Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently, he wrote the 2004 text Learning Bayesian Networks, the textbook Foundations of Algorithms, which has been translated to three languages and is one of the most widely-used algorithms texts world-wide, and the 2007 text Probabilistic Methods for Financial and Marketing Informatics (Morgan Kaufmann Publishers).

Preface
Basics
Introduction to Bayesian Networks
More DAG/Probability Relationships
Inference
Inference: Discrete Variables
More Inference Algorithms
Influence Diagrams
Learning
Parameter Learning: Binary Variables
More Parameter Learning
Bayesian Structure Learning
Approximate Bayesian Structure Learning
Constraint-Based Learning
More Structure Learning
Appications
Applications
Bibliography
Index