Learning naive Bayes regression models with missing data using mixtures of truncated exponentials

Learning naive Bayes regression models with missing data using mixtures of truncated exponentials

In the last years, mixtures of truncated exponentials (MTEs) have received much attention within the context of probabilistic graphical models, as they provide a framework for hybrid Bayesian networks which is compatible with standard inference algorithms and no restriction on the structure of the n...

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Dades bibliogràfiques
Autors principals:	Fernández, Antonio, Nielsen, Jens D., Salmerón Cerdán, Antonio
Format:	info:eu-repo/semantics/report
Idioma:	English
Publicat:	2012
Accés en línia:	http://hdl.handle.net/10835/1550

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