45 search results - page 2 / 9 » Regularization and Averaging of the Selective Naive Bayes cl... |
ML
2000
ACM
13 years 5 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
ECML
2007
Springer
14 years 5 days ago
2007
Springer
Averaged One-Dependence Estimators (AODE) classifies by uniformly aggregating all qualified one-dependence estimators (ODEs). Its capacity to significantly improve naive Bayes...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...