Edité par New York , Springer [2001]., 2001
ISBN 10 : 0387952594 ISBN 13 : 9780387952598
Langue: anglais
Vendeur : Antiquariat Bookfarm, Löbnitz, Allemagne
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 JEN 9780387952598 Sprache: Englisch Gewicht in Gramm: 550.
Edité par New York , Springer [2001]., 2001
ISBN 10 : 0387952594 ISBN 13 : 9780387952598
Langue: anglais
Vendeur : Antiquariat Bookfarm, Löbnitz, Allemagne
Quantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 JEN 9780387952598 Sprache: Englisch Gewicht in Gramm: 550.
Vendeur : Florida Mountain Book Co., Datil, NM, Etats-Unis
Edition originale
EUR 27,20
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Very Good. Hardcover, [xv], 268 pages. Very Good condition. First printing. Size 9.5"x6.25". "The book emphasizes both the human and the computer side. Part I gives a thorough introduction to Bayesian networks as well as decision trees and infulence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues. This part is also self-contained, but it requires that the reader is familiar with working with texts in the mathematical language." Book has light handling/shelfwear, spine is sunned, else Fine condition, clean and unmarked.
EUR 28,98
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Near Fine. Hardcover, [xv], 268 pages. Near Fine condition. Second, corrected printing, 2002. Size 9.5"x6.25". "The book emphasizes both the human and the computer side. Part I gives a thorough introduction to Bayesian networks as well as decision trees and infulence diagrams, and through examples and exercises, the reader is instructed in building graphical models from domain knowledge. This part is self-contained and it does not require other background than standard secondary school mathematics. Part II is devoted to the presentation of algorithms and complexity issues. This part is also self-contained, but it requires that the reader is familiar with working with texts in the mathematical language." Book has light exterior shelfwear, else Fine condition, clean and unmarked.
EUR 58,12
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Vendeur : Maxwell's House of Books, La Mesa, CA, Etats-Unis
EUR 22,29
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Very Good. Etat de la jaquette : No DJ as Issued. A lovely, crisp, clean hardcover in very good condition; light sunning to spine, light shelf wear. No dust jacket, as issued. We are a brick-and-mortar store and sell our own inventory.
Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
EUR 37,81
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Very Good. *Price HAS BEEN REDUCED by 10% until Monday, June 16 (SALE ITEM)* Corrected Printing, 268 pp., Hardcover, minor internal library markings else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Vendeur : Feldman's Books, Menlo Park, CA, Etats-Unis
EUR 40,12
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Ajouter au panierHardcover. Etat : Near Fine. First Edition. No markings.
EUR 78,09
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Ajouter au panierEtat : Used. pp. xv + 268 1st Edition.
EUR 76,87
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Ajouter au panierEtat : New. pp. xv + 268 Illus.
EUR 80,90
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Ajouter au panierEtat : New. pp. xv + 268.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 86,36
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierPaperback. Etat : New.
Vendeur : The Book Escape, Baltimore, MD, Etats-Unis
EUR 64,19
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Ajouter au panierHardcover. Etat : 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 89,36
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Ajouter au panierEtat : New.
Edité par Springer New York, Springer New York Nov 2010, 2010
ISBN 10 : 1441923942 ISBN 13 : 9781441923943
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 90,94
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -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 alsoprovide 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.
Edité par Springer New York, Springer New York, 2010
ISBN 10 : 1441923942 ISBN 13 : 9781441923943
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 95,65
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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 96,19
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 130,67
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Ajouter au panierEtat : New. In.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 105,24
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
EUR 123,87
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Ajouter au panierEtat : New.
EUR 134,06
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Ajouter au panierEtat : New. pp. 464.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 138,19
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Ajouter au panierEtat : New.
EUR 130,66
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Ajouter au panierEtat : New.
EUR 139,74
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Ajouter au panierGebunden. Etat : 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.
EUR 141,91
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 2nd ed. edition. 448 pages. 9.00x6.00x1.09 inches. In Stock.
EUR 156,03
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : BennettBooksLtd, North Las Vegas, NV, Etats-Unis
EUR 136,76
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Ajouter au panierhardcover. Etat : New. In shrink wrap. Looks like an interesting title!
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 146,37
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Like New. Like New. book.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 122,67
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Ajouter au panierEtat : New.
EUR 179,44
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Ajouter au panierEtat : As New. Unread book in perfect condition.