26 search results - page 2 / 6 » The LCCP for Optimizing Kernel Parameters for SVM |
PAMI
2010
13 years 3 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
AVSS
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper proposes to apply optimized One-Class Support Vector Machines (1-SVMs) as a discriminative framework in order to address a specific audio classification problem. Firs...
AAAI
2010
13 years 7 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...