365 search results - page 19 / 73 » Generalized Chebyshev Kernels for Support Vector Classificat... |
CIBB
2008
13 years 9 months ago
2008
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
NIPS
2004
13 years 8 months ago
2004
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...
IWANN
1999
Springer
13 years 11 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...