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Learning Bayesian Networks
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Learning Bayesian Networks Paperback - 2003

by Neapolitan, Richard E


From the publisher

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.

Details

  • Title Learning Bayesian Networks
  • Author Neapolitan, Richard E
  • Binding Paperback
  • Edition [ Edition: illus
  • Pages 674
  • Publisher Pearson, Lebanon, Indiana, U.S.A.
  • Date 2003-04
  • ISBN 9780130125347

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.

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Learning Bayesian Networks

Learning Bayesian Networks

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Learning Bayseian Networks
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Learning Bayseian Networks: Prentice Hall Series in Artificial Intelligence

by Neapolitan, Richard E.

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Learning Bayesian Networks
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Learning Bayesian Networks

by Neapolitan, Richard E

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9780130125347 / 0130125342
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Learning Bayesian Networks
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Learning Bayesian Networks

by Neapolitan, Richard E

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9780130125347 / 0130125342
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