Innovations in Bayesian Networks Theory and Applications /

Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Holmes, Dawn E. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 156
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo

MARC

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505 0 |a to Bayesian Networks -- A Polemic for Bayesian Statistics -- A Tutorial on Learning with Bayesian Networks -- The Causal Interpretation of Bayesian Networks -- An Introduction to Bayesian Networks and Their Contemporary Applications -- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer -- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks -- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data -- Causal Graphical Models with Latent Variables: Learning and Inference -- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem -- Toward a Generalized Bayesian Network -- A Survey of First-Order Probabilistic Models. 
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650 0 |a Engineering-Data processing. 
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