1334 search results - page 74 / 267 » Composite kernel learning |
140
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CORR
2012
Springer
13 years 11 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...
143
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SLSFS
2005
Springer
15 years 8 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...
118
Voted
ICMLA
2008
15 years 4 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, ...
116
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ALT
2010
Springer
15 years 21 days 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...
155
Voted
CVPR
2009
IEEE
16 years 10 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...