545 search results - page 15 / 109 » Support Vector Regression Using Mahalanobis Kernels |
NIPS
1998
13 years 10 months ago
1998
A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fracti...
NIPS
2004
13 years 10 months ago
2004
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
JMLR
2010
13 years 3 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
ICPR
2006
IEEE
14 years 10 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...