Not so Naive Bayes Aggregating One-Dependence Estimators.

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...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:Machine learning. 58, 1 (2005).
Päätekijä: Webb, Geoffrey I.
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Naive Bayes.
Semi-naive Bayes.
Attribute independence assumption.
Probabilistic prediction.