Advances in Probabilistic Graphical Models: 213 (Studies in Fuzziness and Soft Computing, 213) - Image 1

£86.90

Springer Advances in Probabilistic Graphical Models: 213 (Studies in Fuzziness and Soft Computing, 213)

Name: Advances in Probabilistic Graphical Models: 213 (Studies in Fuzziness and Soft Computing, 213)
Brand: Springer
Price: 86.9 GBP
Availability: InStock

AI & Machine Learning

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Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642088546
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 19 November 2010
Listed Since: 01 October 2010

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Springer Advances in Probabilistic Graphical Models: 213 (Studies in Fuzziness and Soft Computing, 213)

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