5802 search results - page 21 / 1161 » Parallelizing Feature Selection |
KDD
1997
ACM
13 years 11 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 ...
AVBPA
2005
Springer
14 years 29 days ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...