26 search results - page 3 / 6 » The LCCP for Optimizing Kernel Parameters for SVM |
ICCV
2007
IEEE
14 years 17 days ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
ICPR
2004
IEEE
14 years 7 months ago
2004
IEEE
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
ISNN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...