68 search results - page 1 / 14 » The Use of Bayesian Framework for Kernel Selection in Vector... |
CIARP
2005
Springer
13 years 10 months ago
2005
Springer
NIPS
2001
13 years 6 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
ICANN
2009
Springer
13 years 12 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
SNPD
2004
13 years 6 months ago
2004
We proposed a new approach to compare profiles when the correlations among attributes can be represented as a tree. To account for these correlations, the profile is extended with...