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Item Details
| Title:
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LEARNING BAYESIAN NETWORKS
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| By: |
Richard E. Neapolitan |
| Format: |
Paperback |
| List price:
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£133.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0130125342 |
| ISBN 13: |
9780130125347 |
| Publisher: |
PEARSON EDUCATION (US) |
| Pub. date: |
27 March, 2003 |
| Pages: |
674 |
| Description: |
Provides a discussion of Bayesian networks. This book 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. It is useful as a supplementary text in courses on Expert Systems, Machine Learning, and Artificial Intelligence. |
| Synopsis: |
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. |
| Illustrations: |
bibliography, index |
| Publication: |
US |
| Imprint: |
Prentice Hall |
| Returns: |
Returnable |
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