Advances in Probabilistic Graphical Models

Advances in Probabilistic Graphical Models edited by Peter Lucas, José A. Gámez, Antonio Salmerón Cerdan.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lucas, Peter (Editor), Gámez, José A. (Editor), Salmerón Cerdan, Antonio (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Studies in Fuzziness and Soft Computing, 213
Springer eBook Collection.
Subjects:
Probabilities.
Discrete mathematics.
Mathematical models.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Electronic resources (E-books)
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