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Approximation Methods for Efficient Learning of Bayesian Networks.
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...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Format: | eBook |
| Langue: | Inglés |
| Publié: |
Amsterdam :
IOS Press,
2008.
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| Collection: | Frontiers in artificial intelligence and applications.
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| Sujets: | |
| Accès en ligne: | Texto completo |