3647 search results - page 49 / 730 » Feature Selection for SVMs |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
IWBRS
2005
Springer
14 years 1 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
JCP
2006
13 years 7 months ago
2006
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
ISDA
2010
IEEE
13 years 5 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...