811 search results - page 18 / 163 » Minimal Kernel Classifiers |
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
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NIPS
2008
14 years 11 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...