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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
IOS Press,
2008.
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| Colección: | Frontiers in artificial intelligence and applications.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Title page; Contents; Foreword; Introduction; Preliminaries; Learning Bayesian Networks from Data; Monte Carlo Methods and MCMC Simulation; Learning from Incomplete Data; Conclusion; References.