Approximation Methods for Efficient Learning of Bayesian Networks - Couverture souple

Riggelsen, C.

Couverture souple

ISBN 10 : 1586038214 ISBN 13 : 9781586038212

Editeur : IOS Press,US, 2008

Synopsis

This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible, albeit non-Bayesian. The topics discussed are: basic concepts about probabilities, graph theory and conditional independence; Bayesian network learning from data; Monte Carlo simulation techniques; and, the concept of incomplete data. In order to provide a coherent treatment of matters, thereby helping the reader to gain a thorough understanding of the whole concept of learning Bayesian networks from (in)complete data, this publication combines in a clarifying way all the issues presented in the papers with previously unpublished work.

A propos du livre

Présentation de l'éditeur

This publication offers and investigates efficient Monte Carlo simulation methods in order to realize a Bayesian approach to approximate learning of Bayesian networks from both complete and incomplete data. For large amounts of incomplete data when Monte Carlo methods are inefficient, approximations are implemented, such that learning remains feasible, albeit non-Bayesian. Topics discussed are; basic concepts about probabilities, graph theory and conditional independence; Bayesian network learning from data; Monte Carlo simulation techniques; and the concept of incomplete data. In order to provide a coherent treatment of matters, thereby helping the reader to gain a thorough understanding of the whole concept of learning Bayesian networks from (in)complete data, this publication combines in a clarifying way all the issues presented in the papers with previously unpublished work.

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Détails de l'édition

• Éditeur: IOS Press,US
• Date d'édition: 2008
• Langue: anglais
• ISBN 10: 1586038214
• ISBN 13: 9781586038212
• Reliure: Broché
• Nombre de pages: 148
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible