Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs

There is a commonly held opinion that the algorithms for learning unrestricted types of Bayesian networks, especially those based on the score+search paradigm, are not suitable for building competitive Bayesian network-based classifiers. Several specialized algorithms that carry out the search into...

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Veröffentlicht in:	Machine learning 2005-06, Vol.59 (3), p.213-235
Hauptverfasser:	Acid, Silvia, de Campos, Luis M, Castellano, Javier G
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Studies
Online-Zugang:	Volltext
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