990 search results - page 42 / 198 » Learning with non-positive kernels |
112
click to vote
SIGKDD
2000
15 years 1 months ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
118
click to vote
SIGPRO
2010
14 years 8 months ago
2010
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
134
click to vote
IJCAI
2007
15 years 3 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
113
click to vote
MCS
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
142
click to vote
ECML
2004
Springer
15 years 5 months ago
2004
Springer
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...