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Learning Bayesian Networks (Artificial Intelligence)


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Click here to buy Learning Bayesian Networks (Artificial Intelligence) by  Richard E. Neapolitan. Learning Bayesian Networks (Artificial Intelligence)
by Richard E. Neapolitan
Sales Rank: 295674
5.0 out of 5 stars
List Price: $106.00
$84.80
At Amazon
on 12-5-2008
Buy Learning Bayesian Networks (Artificial Intelligence) Now!

  • Paperback: 674 pages
  • Publisher: Prentice Hall April 6, 2003
  • Language: English
  • ISBN-10: 0130125342
  • ISBN-13: 978-0130125347
  • Product Dimensions: 9.3 x 6.9 x 1.2 inches
  • Shipping Weight: 2.5 pounds

    Product 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.

    Back Cover Copy


    Learning Bayesian Networks offers 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 causality


  • Learning Bayesian Networks (Artificial Intelligence)
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    Price: $84.80
    Updated on 12-5-2008

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