Items related to Advances in Probabilistic Graphical Models (Studies...
Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing, 213) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
Buy New
View this item
US$ 129.38
US$ 27.00 shipping from Germany to U.S.A.
Destination, rates & speeds
Search results for Advances in Probabilistic Graphical Models (Studies...
Seller Image
Advances in Probabilistic Graphical Models
Published by
Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642088546
ISBN 13: 9783642088544
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783642088544
Quantity: 2 available
Stock Image
Advances in Probabilistic Graphical Models
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. x + 396. Seller Inventory # 263094240
Quantity: 4 available
Seller Image
Advances in Probabilistic Graphical Models
Published by
Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546
ISBN 13: 9783642088544
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
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. Seller Inventory # 5047881
Quantity: Over 20 available
Stock Image
Advances in Probabilistic Graphical Models
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand pp. x + 396 133 Illus. (26 Col.). Seller Inventory # 5802303
Quantity: 4 available
Seller Image
Advances in Probabilistic Graphical Models
Published by
Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642088546
ISBN 13: 9783642088544
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 conditionalindependence, 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch. Seller Inventory # 9783642088544
Quantity: 1 available
Stock Image
Advances in Probabilistic Graphical Models
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND pp. x + 396. Seller Inventory # 183094250
Quantity: 4 available
Seller Image
Advances in Probabilistic Graphical Models
Published by
Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546
ISBN 13: 9783642088544
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
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. Seller Inventory # 9783642088544
Quantity: 1 available
Stock Image
Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing)
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. reprint edition. 406 pages. 9.00x6.00x0.96 inches. In Stock. Seller Inventory # 3642088546
Quantity: 1 available