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141
Voted
JMLR
2006
15 years 3 months ago
2006
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
145
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
143
Voted
IJCNN
2000
IEEE
15 years 8 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
121
Voted
IMSCCS
2006
IEEE
15 years 9 months ago
2006
IEEE
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
125
Voted
ESANN
2004
15 years 5 months ago
2004
On certain types of multi-touch touchpads, determining the number of finger stroke is a non-trivial problem. We investigate the application of several classification algorithms to ...