This book introduces the formal foundations and practical applications of Bayesian networks.
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Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.
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Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1250grams, ISBN:9780521884389. Artikel-Nr. 3723127
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Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1250grams, ISBN:9780521884389. Artikel-Nr. 9919401
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is 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 treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. 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. Artikel-Nr. 9780521884389
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2009. 1st Edition. Hardcover. This book introduces the formal foundations and practical applications of Bayesian networks. Num Pages: 562 pages, 246 b/w illus. 64 tables 342 exercises. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 262 x 186 x 31. Weight in Grams: 1228. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521884389
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