990 search results - page 3 / 198 » Learning with non-positive kernels |
NECO
2010
13 years 5 months ago
2010
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
JMLR
2010
13 years 2 months ago
2010
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
JMLR
2010
13 years 5 months ago
2010
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...