28 search results - page 2 / 6 » Reproducing kernel Hilbert spaces for spike train analysis |
JMLR
2008
13 years 6 months ago
2008
In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learnin...
NIPS
2003
13 years 7 months ago
2003
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
DIS
2007
Springer
14 years 12 days ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A relationship between generalization error and training samples in kernel regressors is discussed in this paper. The generalization error can be decomposed into two components. On...