Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Bookbot, Prague, Republica Checa
EUR 17,30
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Añadir al carritoSoftcover. Condición: Fair. Sichtbare Flecken. 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.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: Prior Books Ltd, Cheltenham, Reino Unido
Original o primera edición
EUR 41,69
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: The Book Escape, Baltimore, MD, Estados Unidos de America
Original o primera edición
EUR 26,60
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Añadir al carritoHardcover. Condición: 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.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
EUR 40,08
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Añadir al carritoCondición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: Miki Store, San Jose, CA, Estados Unidos de America
EUR 26,59
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Añadir al carritohardcover. Condición: Very Good. Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good.
Publicado por Cambridge University Press 2014-07, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 60,99
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Añadir al carritoPF. Condición: New.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 81,61
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 84,24
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,11
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 81,06
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Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 92,09
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Añadir al carritoCondición: New. pp. 562 246 Illus.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
EUR 40,16
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Añadir al carritoCondición: 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.
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 116,96
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Añadir al carritoPaperback. Condición: New. 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.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 25,29
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Añadir al carritohardcover. Condición: 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!
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 86,94
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Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, GB, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 125,88
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Añadir al carritoPaperback. Condición: New. 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.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 112,35
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the formal foundations and practical applications of Bayesian networks.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 36,76
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Añadir al carritoPaperback. Condición: 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!
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 119,10
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 109,58
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 74,92
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Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: GridFreed, North Las Vegas, NV, Estados Unidos de America
EUR 105,29
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 111,03
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Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 139,82
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Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 130,04
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Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 144,54
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Publicado por Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 91,15
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Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 140,30
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 139,81
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Publicado por Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Idioma: Inglés
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 148,64
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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.