Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 25,32
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: 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!
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: The Book Escape, Baltimore, MD, U.S.A.
Prima edizione
EUR 26,63
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 36,02
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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!
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
EUR 39,57
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: Prior Books Ltd, Cheltenham, Regno Unito
Prima edizione
EUR 41,39
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 76,18
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 75,00
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 84,33
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 91,24
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 81,02
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press 2014-07, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 77,93
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 89,83
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 562 246 Illus.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 80,86
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: GridFreed, North Las Vegas, NV, U.S.A.
EUR 102,36
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrellohardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 86,31
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,17
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 128,98
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 107,61
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 138,20
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 144,69
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 111,04
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 133,79
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 133,78
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 135,98
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
EUR 154,67
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 126,53
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 157,67
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 152,37
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2014
ISBN 10: 1107678420 ISBN 13: 9781107678422
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 112,35
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the formal foundations and practical applications of Bayesian networks.
Editore: Cambridge University Press, Cambridge, 2009
ISBN 10: 0521884381 ISBN 13: 9780521884389
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 146,62
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.