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Taschenbuch. Condition: Neu. Advances in Probabilistic Graphical Models | Peter Lucas (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | x | Englisch | 2010 | Springer | EAN 9783642088544 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence;contributions to the area are coming from computer science, mathematics, statistics and engineering.This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In recent years considerable progress has been made in the area of probabilistic graphical models, in particular Bayesian networks and influence diagrams. Probabilistic graphical models have become mainstream in the area of uncertainty in artificial intelligence;contributions to the area are coming from computer science, mathematics, statistics and engineering.This carefully edited book brings together in one volume some of the most important topics of current research in probabilistic graphical modelling, learning from data and probabilistic inference. This includes topics such as the characterisation of conditional independence, the sensitivity of the underlying probability distribution of a Bayesian network to variation in its parameters, the learning of graphical models with latent variables and extensions to the influence diagram formalism. In addition, attention is given to important application fields of probabilistic graphical models, such as the control of vehicles, bioinformatics and medicine.
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Language: English
Published by Springer, 2007
Seller: Books in my Basket, New Delhi, India
Hardcover. Condition: New. ISBN:9783540689942.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. x + 396 Illus. This item is printed on demand.
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Language: English
Published by Springer Berlin Heidelberg Feb 2007, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine. 396 pp. Englisch.
Language: English
Published by Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine. 408 pp. Englisch.
Language: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Seller: moluna, Greven, Germany
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in probabilistic graphical models, Includes carefully edited and reviewed surveys and research articlesThis book brings together important topics of current research in probabilistic graphical modeling, lea.
Language: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
Seller: moluna, Greven, Germany
US$ 110.84
Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in probabilistic graphical models, Includes carefully edited and reviewed surveys and research articlesThis book brings together important topics of current research in probabilistic graphical modeling, lea.