33 search results - page 1 / 7 » Flexible kernels for RBF networks |
IJON
2006
13 years 4 months ago
2006
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
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...
ICAISC
2004
Springer
13 years 10 months ago
2004
Springer
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
ESANN
2007
13 years 6 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...