2681 search results - page 58 / 537 » Learning to learn with the informative vector machine |
142
click to vote
BMCBI
2010
15 years 4 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...
137
click to vote
HAIS
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
162
click to vote
SSPR
2010
Springer
15 years 2 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
134
click to vote
CORR
2008
Springer
15 years 4 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...
141
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...