28 search results - page 4 / 6 » Reproducing kernel Hilbert spaces for spike train analysis |
JMLR
2002
13 years 7 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
WACV
2012
IEEE
12 years 3 months ago
2012
IEEE
A convenient way of analysing Riemannian manifolds is to embed them in Euclidean spaces, with the embedding typically obtained by flattening the manifold via tangent spaces. This...
ALT
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...
IJCAI
2007
13 years 9 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...