361 search results - page 11 / 73 » MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm |
COLT
2008
Springer
15 years 1 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
KDD
2004
ACM
16 years 3 days ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
NPL
2010
14 years 10 months ago
2010
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
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BMCBI
2008
14 years 12 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...