323 search results - page 1 / 65 » Semi-Naive Bayesian Classifier |
118
Voted
ECML
1991
Springer
15 years 1 months ago
1991
Springer
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
80
Voted
ICML
1999
IEEE
15 years 11 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
112
Voted
ML
2000
ACM
14 years 10 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...
112
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JCIT
2010
14 years 5 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
90
Voted
PRL
2002
14 years 9 months ago
2002
A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate...