1253 search results - page 5 / 251 » Feature selection for linear support vector machines |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
ANNPR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
AAAI
2006
13 years 9 months ago
2006
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
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...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...