93 search results - page 2 / 19 » Optimizing kernel parameters by second-order methods |
107
Voted
ESANN
2004
15 years 2 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
125
Voted
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
103
Voted
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
This paper proposes a novel approach for directly tuning the gaussian kernel matrix for one class learning. The popular gaussian kernel includes a free parameter, σ, that requires...
126
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
110
Voted
CVPR
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trappe...