1438 search results - page 56 / 288 » Feature Selection and Effective Classifiers |
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
IJON
2006
13 years 8 months ago
2006
Since accurate classification of DNA microarray is a very important issue for the treatment of cancer, it is more desirable to make a decision by combining the results of various ...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
JIFS
2008
13 years 8 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...