Modeling and Reasoning with Bayesian Networks Hardback

4,15 valoración promedio
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9780521884389: Modeling and Reasoning with Bayesian Networks Hardback

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.

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Críticas:

'… both practical and advanced … The first five chapters are sufficient for students and practitioners to gain the necessary knowledge in order to build Bayesian networks for moderately sized applications with the aid of a software tool … All major inference methods are covered in later chapters which allow researchers and software developers to implement their own software systems tailored to their needs … It is a comprehensive book that can be used for self study by students and newcomers to the field or as a companion for courses on probabilistic reasoning. Experienced researchers may also find deeper information on some topics. In my opinion, the book should definitely be [on] the bookshelf of everyone who teaches Bayesian networks and builds probabilistic reasoning agents.' Artificial Intelligence

'[This] book will make an excellent textbook; it covers topics suitable for both undergraduate and graduate courses. It will also help practitioners get a firm grasp of the fundamentals of modeling and inference with BNs, as well as some recent advances.' ACM Computing Reviews

Biografía del autor:

Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.

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1.

Prof. Adnan Darwiche
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2011)
ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Hardback. Estado de conservación: New. 254 x 185 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780521884389

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Prof. Adnan Darwiche
Editorial: Cambridge University Press 2009-04-06, Cambridge (2009)
ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción Cambridge University Press 2009-04-06, Cambridge, 2009. hardback. Estado de conservación: New. Nº de ref. de la librería 9780521884389

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Darwiche, Prof. Adnan
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ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción Cambridge University Press, 2009. Estado de conservación: 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. . . . . . . Nº de ref. de la librería V9780521884389

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Prof. Adnan Darwiche
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2011)
ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Hardback. Estado de conservación: New. 254 x 185 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780521884389

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Adnan Darwiche
Editorial: Cambridge University Press
ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción Cambridge University Press. Hardback. Estado de conservación: new. BRAND NEW, Modeling and Reasoning with Bayesian Networks, Adnan Darwiche, 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. Nº de ref. de la librería B9780521884389

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Darwiche, Adnan
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Descripción Cambridge University Press, 2009. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería BB-9780521884389

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Professor Adnan Darwiche
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ISBN 10: 0521884381 ISBN 13: 9780521884389
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Descripción Cambridge University Press, 2009. Estado de conservación: New. book. Nº de ref. de la librería ria9780521884389_rkm

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Darwiche, Prof. Adnan
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Descripción Cambridge University Press. Estado de conservación: 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. Nº de ref. de la librería V9780521884389

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97805218843890000000

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Descripción Cambridge University Press, 2016. Paperback. Estado de conservación: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. de la librería ria9780521884389_lsuk

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