3507 search results - page 26 / 702 » Feature selection toolbox |
ISDA
2009
IEEE
14 years 4 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
NIPS
2000
13 years 11 months ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
ISDA
2009
IEEE
14 years 4 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...