49 search results - page 2 / 10 » Naive Bayesian Rough Sets |
FLAIRS
2008
13 years 7 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
The goal of this paper is to offer a framework for image classification "by type". For example, one may want to classify an image of a certain office as man-made ? as op...
DIS
2004
Springer
13 years 9 months ago
2004
Springer
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
DATAMINE
2010
13 years 5 months ago
2010
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
ECAI
2000
Springer
13 years 9 months ago
2000
Springer
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...