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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lucas, Peter (Editor ), Gámez, José A. (Editor ), Salmerón Cerdan, Antonio (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Studies in Fuzziness and Soft Computing, 213
Temas:
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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