Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : The Book Escape, Baltimore, MD, Etats-Unis
Edition originale
EUR 26,58
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Ajouter au panierHardcover. Etat : Good. 1st Edition. Some underlining in pencil until page 21. (Could be erased if one desired). Free or markings after that. Cover looks great with minimal wear. ***Shipped within 24 hours from the beautiful Baltimore inner harbor area. First class service. Most items packed in boxes, not envelopes.***. Book.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 35,96
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Goodwill of Silicon Valley, SAN JOSE, CA, Etats-Unis
EUR 39,49
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Ajouter au panierEtat : good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 49,29
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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : Prior Books Ltd, Cheltenham, Royaume-Uni
Edition originale
EUR 41,27
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Ajouter au panierHardcover. Etat : Like New. First Edition. A firm, square and tight hardback with strong joints, just showing a few very minor hardly noticeable bumps and some mild cosmetic wear. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus the contents are crisp, fresh and clean with no pen-marks. Not from a library so no such stamps or labels. Now offered for sale at a very reasonable price.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 76,04
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 74,86
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 84,17
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, Cambridge, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 91,07
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 80,80
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Ajouter au panierEtat : New. In.
Edité par Cambridge University Press 2014-07, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 77,72
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Ajouter au panierPF. Etat : New.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 91,83
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Ajouter au panierEtat : New. pp. 562 246 Illus.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 80,64
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : GridFreed, North Las Vegas, NV, Etats-Unis
EUR 102,17
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Ajouter au panierhardcover. Etat : New. In shrink wrap. Looks like an interesting title!
Edité par Cambridge University Press, Cambridge, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 86,07
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 129,93
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 128,74
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 107,31
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 137,86
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 144,42
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, Cambridge, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 111,15
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 133,42
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Ajouter au panierEtat : New. In.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 133,41
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 135,60
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, Cambridge, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 154,38
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Ajouter au panierHardcover. Etat : new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 126,18
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 157,09
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 151,96
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Edité par Cambridge University Press, 2014
ISBN 10 : 1107678420 ISBN 13 : 9781107678422
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 112,35
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the formal foundations and practical applications of Bayesian networks.
Edité par Cambridge University Press, Cambridge, 2009
ISBN 10 : 0521884381 ISBN 13 : 9780521884389
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 146,22
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Ajouter au panierHardcover. Etat : new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.