979 search results - page 22 / 196 » Support Vector Machine Classification with Indefinite Kernel... |
NIPS
1998
15 years 1 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
116
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ICDM
2007
IEEE
15 years 1 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
2002
IEEE
15 years 4 months ago
2002
IEEE
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
110
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NCA
2008
IEEE
14 years 11 months ago
2008
IEEE
Three extensions to the Kernel-AdaTron training algorithm for Support Vector Machine classifier learning are presented. These extensions allow the trained classifier to adhere more...
121
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IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...