A review on evolutionary algorithms in Bayesian network learning and inference tasks

Thanks to their inherent properties, probabilistic graphical models are one of the prime candidates for machine learning and decision making tasks especially in uncertain domains. Their capabilities, like representation, inference and learning, if used effectively, can greatly help to build intellig...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Information sciences Jg. 233; S. 109 - 125
Hauptverfasser:	Larrañaga, Pedro, Karshenas, Hossein, Bielza, Concha, Santana, Roberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2013
Schlagworte:	Bayesian network Evolutionary computation Inference Learning from data Probabilistic graphical model Learning from data Probabilistic graphical model Inference Bayesian network Evolutionary computation
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!