124 search results - page 2 / 25 » SVM feature selection for multidimensional EEG data |
DMIN
2007
13 years 6 months ago
2007
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
CIBCB
2005
IEEE
13 years 11 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
BMCBI
2006
13 years 5 months ago
2006
ICANN
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...