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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Détails bibliographiques
Cote:Libro Electrónico
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Lucas, Peter (Éditeur intellectuel), Gámez, José A. (Éditeur intellectuel), Salmerón Cerdan, Antonio (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Édition:1st ed. 2007.
Collection:Studies in Fuzziness and Soft Computing, 213
Sujets:
Probabilities.
Discrete mathematics.
Mathematical models.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Probability Theory.
Discrete Mathematics.
Mathematical Modeling and Industrial Mathematics.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
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