990 search results - page 79 / 198 » Learning with non-positive kernels |
ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
SLSFS
2005
Springer
15 years 3 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
ICMLA
2008
14 years 11 months ago
2008
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
IPPS
2008
IEEE
15 years 4 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...