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Advances Probabilistic Graphical Models by Lucas (25 results)
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Hardcover. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: New. pp. x + 396 1st Edition.
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Condition: New. pp. x + 396.
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9783540689942.
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International EditionCondition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing, 213)
Book 36 of 183: Studies in Fuzziness and Soft ComputingSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. x + 396.
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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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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
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.
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Paperback. Condition: Brand New. reprint edition. 406 pages. 9.00x6.00x0.96 inches. In Stock.
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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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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Hardcover. Condition: New. ISBN:9783540689942.
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Condition: New. pp. x + 396 Illus. This item is printed on demand.
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Condition: new. Questo è un articolo print on demand.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
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.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg Feb 2007, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Gebunden. 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.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
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.
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Condition: New. PRINT ON DEMAND pp. x + 396.
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Buch. Condition: Neu. Advances in Probabilistic Graphical Models | Peter Lucas (u. a.) | Buch | Studies in Fuzziness and Soft Computing | x | Englisch | 2007 | Springer | EAN 9783540689942 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer, Springer Nov 2010, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
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 KG, Sachsenplatz 4-6, 1201 Wien 408 pp. Englisch.
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Advances in Probabilistic Graphical Models
Book 36 of 183: Studies in Fuzziness and Soft ComputingLanguage: English
Published by Springer, Springer Feb 2007, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. 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 KG, Sachsenplatz 4-6, 1201 Wien 396 pp. Englisch.
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Condition: New. Print on Demand pp. x + 396 133 Illus. (26 Col.).
