87 search results - page 1 / 18 » A Note on the Generalization Performance of Kernel Classifie... |
ALT
2000
Springer
13 years 10 months ago
2000
Springer
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
ANNPR
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
AAAI
1998
13 years 8 months ago
1998
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
ICANN
2005
Springer
14 years 17 days ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...