990 search results - page 18 / 198 » Learning with non-positive kernels |
CORR
2012
Springer
12 years 5 months ago
2012
Springer
NIPS
2004
13 years 11 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
CORR
2012
Springer
12 years 5 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
ALT
2010
Springer
13 years 7 months ago
2010
Springer
This paper provides a probabilistic derivation of an identity connecting the square loss of ridge regression in on-line mode with the loss of a retrospectively best regressor. Some...
PR
2006
13 years 9 months ago
2006
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...