Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloCondizione: Used. pp. 300 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 129,48
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Kluwer Academic Publishers, 2002
ISBN 10: 1402009178 ISBN 13: 9781402009174
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 134,86
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Aggiungi al carrelloCondizione: New. The approach to probability theory followed in this book characterizes probability as a linear operator, and is based on the concept of coherence. It is a 'flexible' and unifying tool suited for handling partial probability assessments, and conditional independence, in a way that avoids the inconsistencies related to logical dependence. Series: Trends in Logic. Num Pages: 295 pages, biography. BIC Classification: PBCD; UYA. Category: (UU) Undergraduate. Dimension: 235 x 155 x 17. Weight in Grams: 597. . 2002. Hardback. . . . .
Lingua: Inglese
Editore: Kluwer Academic Publishers, 2002
ISBN 10: 1402009178 ISBN 13: 9781402009174
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. The approach to probability theory followed in this book characterizes probability as a linear operator, and is based on the concept of coherence. It is a 'flexible' and unifying tool suited for handling partial probability assessments, and conditional independence, in a way that avoids the inconsistencies related to logical dependence. Series: Trends in Logic. Num Pages: 295 pages, biography. BIC Classification: PBCD; UYA. Category: (UU) Undergraduate. Dimension: 235 x 155 x 17. Weight in Grams: 597. . 2002. Hardback. . . . . Books ship from the US and Ireland.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 114,36
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, .
Lingua: Inglese
Editore: Springer, Springer Okt 2002, 2002
ISBN 10: 1402009178 ISBN 13: 9781402009174
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning.The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.
Lingua: Inglese
Editore: Springer Netherlands Okt 2002, 2002
ISBN 10: 1402009178 ISBN 13: 9781402009174
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis. 300 pp. Englisch.