2665 search results - page 209 / 533 » Bundle Methods for Machine Learning |
114
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
160
Voted
JMLR
2008
15 years 2 months ago
2008
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
121
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
128
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
147
Voted
TKDE
2012
13 years 5 months ago
2012
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...