234 search results - page 1 / 47 » Is Feature Selection Still Necessary |
SLSFS
2005
Springer
14 years 2 days ago
2005
Springer
MLDM
2007
Springer
14 years 22 days ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
CRV
2005
IEEE
14 years 6 days ago
2005
IEEE
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
PRIS
2004
13 years 8 months ago
2004
Abstract. Feature selection researchers often encounter a peaking phenomenon: a feature subset can be found that is smaller but still enables building a more accurate classifier th...
ESANN
2007
13 years 8 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...