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Advances Probabilistic Graphical Models (41 results)
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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: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New. 2nd ed. 2021 edition NO-PA16APR2015-KAP.
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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 7-10 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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Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.14
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Add to basketCondition: New. In English.
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Paperback. Condition: Brand New. reprint edition. 277 pages. 9.25x6.10x0.63 inches. In Stock.
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Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing, 213)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 132.31
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Paperback. Condition: Like New. Like New. book.
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Condition: New. pp. x + 396.
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Advances in Probabilistic Graphical Models
Published by Springer-Verlag GmbH, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
Language: English
Taschenbuch. Condition: Neu. Advances in Probabilistic Graphical Models | Peter Lucas (u. a.) | Taschenbuch | x | Englisch | 2010 | Springer-Verlag GmbH | 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
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2007, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. 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 396 pp. Englisch.
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Paperback. Condition: Brand New. reprint edition. 406 pages. 9.00x6.00x0.96 inches. In Stock.
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Advances in Probabilistic Graphical Models
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642088546 ISBN 13: 9783642088544
Language: English
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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Advances in Probabilistic Graphical Models
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 354068994X ISBN 13: 9783540689942
Language: English
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.
