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...

詳細記述

書誌詳細

出版年:	Machine learning. 59, 3 (2005).
第一著者:	Acid, Silvia
フォーマット:	論文
言語:	English
主題:	Classification. Bayesian networks. Learning algorithms. Scoring functions. Directed acyclic graphs. Partially directed acyclic graphs.