Not so Naive Bayes Aggregating One-Dependence Estimators.

Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, both LBR and Super-Parent TAN have demonstrated remarkable error performance. However, both techniques obtain this outcome at a considerable computational cost. We present a new approach...

詳細記述

書誌詳細

出版年:	Machine learning. 58, 1 (2005).
第一著者:	Webb, Geoffrey I.
フォーマット:	論文
言語:	English
主題:	Naive Bayes. Semi-naive Bayes. Attribute independence assumption. Probabilistic prediction.