1416 search results - page 29 / 284 » Optimal feature selection for support vector machines |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
ISIWI
2000
13 years 9 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
ICPR
2006
IEEE
14 years 1 months ago
2006
IEEE
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...