545 search results - page 1 / 109 » Support Vector Regression Using Mahalanobis Kernels |
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
IJCNN
2006
IEEE
13 years 11 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 ...
ESANN
2007
13 years 6 months ago
2007
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
