7 search results - page 1 / 2 » Feature Selection for High-Dimensional Data: A Kolmogorov-Sm... |
CORES
2005
Springer
13 years 10 months ago
2005
Springer
ICONIP
2007
13 years 5 months ago
2007
Abstract. A filter algorithm using F-measure has been used with feature redundancy removal based on the Kolmogorov-Smirnov (KS) test for rough equality of statistical distribution...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
IJCAI
2007
13 years 5 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
ICASSP
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...