439 search results - page 14 / 88 » Weighted decomposition kernels |
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ICCS
2004
Springer
14 years 1 months ago
2004
Springer
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Weighted graph regularization provides a rich framework that allows to regularize functions defined over the vertices of a weighted graph. Until now, such a framework has been only...