1416 search results - page 157 / 284 » Optimal feature selection for support vector machines |
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
VIS
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...