Approximation Methods for Efficient Learning of Bayesian Networks.

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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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Riggelsen, C.
Format: eBook
Language:Inglés
Published: Amsterdam : IOS Press, 2008.
Series:Frontiers in artificial intelligence and applications.
Subjects:
Bayesian statistical decision theory.
Machine learning.
Neural networks (Computer science)
Neural Networks, Computer
Théorie de la décision bayésienne.
Apprentissage automatique.
Réseaux neuronaux (Informatique)
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