769 search results - page 13 / 154 » Bayesian Generalized Kernel Models |
ICTAC
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Separation kernels are key components in embedded applications. Their small size and widespread use in high-integrity environments make them good targets for formal model...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
ANNPR
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
ICIP
2003
IEEE
14 years 11 months ago
2003
IEEE
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...