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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Dettagli Bibliografici
Autori principali:	Fernández, Antonio, Nielsen, Jens D., Salmerón Cerdán, Antonio
Natura:	info:eu-repo/semantics/report
Lingua:	English
Pubblicazione:	2012
Accesso online:	http://hdl.handle.net/10835/1550

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