990 search results - page 24 / 198 » Evolving kernels for support vector machine classification |
158
click to vote
JMLR
2006
15 years 4 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
129
click to vote
IJON
2008
15 years 4 months ago
2008
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
161
click to vote
COLT
1999
Springer
15 years 9 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
154
click to vote
CVPR
2004
IEEE
15 years 8 months ago
2004
IEEE
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
166
click to vote
ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...