93 search results - page 3 / 19 » Optimizing kernel parameters by second-order methods |
TIP
1998
13 years 5 months ago
1998
—An error in the theoretical derivations leading up to the main equation of the above correspondence by Prost et al. is pointed out, and corrections are presented. Due to the err...
ISNN
2005
Springer
13 years 10 months ago
2005
Springer
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
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 ...
JMLR
2006
13 years 5 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
JMLR
2008
13 years 5 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...