Approximation methods for efficient learning of Bayesian networks
Autor principal: | |
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Formato: | Tesis |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Washington, DC :
IOS Press
2008.
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Colección: | EBSCO Academic eBook Collection Complete.
Frontiers in artificial intelligence and applications ; v. 168. Dissertations in artificial intelligence. |
Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b34670208*spi |
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.