ENGLISH

Learning Bayesian networks

By Richard E. Neapolitan

Book information

Publisher
Pearson Prentice Hall
Year
2004
ISBN
9780130125347, 0130125342
LCC
QA279.5 .N436 2004
Open Library ID
OL18186050M
Language
english
Format
PDF
Filesize
5 MB (4805976 bytes)
Series
Prentice Hall series in artificial intelligence
Edition
illustrated edition
Pages
703\703
Topic
Education
Time added
2009-08-06 05:14:26

Description

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 diagrams. The book also covers the Bayesian method for learning the values of discrete and continuous parameters. Both the Bayesian and constraint-based methods for learning structure are discussed in detail.

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