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Advances in Probabilistic Graphical Models

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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Corporate Author: SpringerLink (Online service)
Other Authors: Lucas, Peter. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gámez, José A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Salmerón Cerdan, Antonio. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Studies in Fuzziness and Soft Computing, 213
Subjects:
Probabilities.
Discrete mathematics.
Mathematical models.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Probability Theory and Stochastic Processes.
Discrete Mathematics.
Mathematical Modeling and Industrial Mathematics.
Mathematical and Computational Engineering.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-540-68996-6

Internet

https://doi.org/10.1007/978-3-540-68996-6

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