Librería: ThriftBooks-Reno, Reno, NV, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 48,74
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 48,74
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 47,19
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Añadir al carritoHardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 60,61
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Librería: ALLBOOKS1, Direk, SA, Australia
EUR 67,60
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Librería: Goodwill of Greater Milwaukee and Chicago, Racine, WI, Estados Unidos de America
EUR 47,20
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Añadir al carritoCondición: good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy.
Publicado por Springer, New York, Usa, 2007
ISBN 10: 0387682813 ISBN 13: 9780387682815
Idioma: Inglés
Librería: Literary Cat Books, Machynlleth, Powys, WALES, Reino Unido
Miembro de asociación: IOBA
EUR 71,03
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Añadir al carritoOriginal boards. Condición: Fine+. Second Edition; First Impression. Original colour printed boards. Slight shelfwear. ; 23.4x15.5x2.5 cm; 447 pages.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 87,76
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Librería: The Book Escape, Baltimore, MD, Estados Unidos de America
EUR 63,83
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Añadir al carritoHardcover. Condición: Good. 2nd Edition. Light pencil underlining in a few sections of text. Could be erased if one desired. ***Shipped within 24 hours from the beautiful Baltimore inner harbor area. First class service; accurate descriptions. Most items packed in boxes, not envelopes.***. Book.
EUR 87,68
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Añadir al carritoPF. Condición: New.
EUR 87,75
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 93,85
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EUR 101,10
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 110,98
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 127,88
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 125,76
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Añadir al carritoCondición: New. pp. 464.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 123,17
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Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 111,29
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 137,42
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EUR 127,87
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Añadir al carritoCondición: New.
EUR 134,41
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis.The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models. The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors also provide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes.give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge.give several examples and exercises exploiting computer systems for dealing with Bayesian networks and decision graphs.present a thorough introduction to state-of-the-art solution and analysis algorithms.The book is intended as a textbook, but it can also be used for self-study and as a reference book.
EUR 140,70
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 94,47
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Publicado por Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441923942 ISBN 13: 9781441923943
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 96,20
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Añadir al carritoPaperback. Condición: new. Paperback. Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis.The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models. The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors also provide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes.give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge.give several examples and exercises exploiting computer systems for dealing with Bayesian networks and decision graphs.present a thorough introduction to state-of-the-art solution and analysis algorithms.The book is intended as a textbook, but it can also be used for self-study and as a reference book. This is a new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. It presents a thorough introduction to state-of-the-art solution and analysis algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 136,91
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Añadir al carritoCondición: New. Gives a well-founded practical introduction to Bayesian networksIncludes presentation of the most efficient algorithm for solving influence diagramsThis is a brand new edition of an essential work on Bayesian networks and decision graph.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 143,25
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: BennettBooksLtd, San Diego, NV, Estados Unidos de America
EUR 135,99
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
Publicado por Springer-Verlag New York Inc., US, 2007
ISBN 10: 0387682813 ISBN 13: 9780387682815
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 176,91
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Añadir al carritoHardback. Condición: New. 2nd ed. 2007. Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis.The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams. The reader is introduced to the two types of frameworks through examples and exercises, which also instruct the reader on how to build these models. The book is a new edition of Bayesian Networks and Decision Graphs by Finn V. Jensen. The new edition is structured into two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems. The authors also provide a well-founded practical introduction to Bayesian networks, object-oriented Bayesian networks, decision trees, influence diagrams (and variants hereof), and Markov decision processes.give practical advice on the construction of Bayesian networks, decision trees, and influence diagrams from domain knowledge.give several examples and exercises exploiting computer systems for dealing with Bayesian networks and decision graphs.present a thorough introduction to state-of-the-art solution and analysis algorithms.The book is intended as a textbook, but it can also be used for self-study and as a reference book.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 170,44
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Añadir al carritoCondición: New. pp. 468 2nd Edition.