3647 search results - page 37 / 730 » Feature Selection for SVMs |
ICONIP
2008
13 years 9 months ago
2008
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
RSKT
2009
Springer
14 years 7 days ago
2009
Springer
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
KDD
1997
ACM
13 years 12 months ago
1997
ACM
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less ...