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Synopsis
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
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Book Description
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis.
About the Author
Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2009
- ISBN 10 0521884381
- ISBN 13 9780521884389
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages562
- Rating
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Modeling and Reasoning with Bayesian Networks
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Modeling and Reasoning with Bayesian Networks
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Modeling and Reasoning with Bayesian Networks
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Modeling and Reasoning with Bayesian Networks
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Modeling and Reasoning with Bayesian Networks
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Modeling and Reasoning With Bayesian Networks
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Modeling and Reasoning with Bayesian Networks
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