230 search results - page 3 / 46 » Smooth Optimization for Effective Multiple Kernel Learning |
BMCBI
2010
13 years 6 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...
ISNN
2005
Springer
13 years 12 months ago
2005
Springer
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
BMCBI
2008
13 years 6 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...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
MMM
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...