8 search results - page 2 / 2 » A Quadratic Loss Multi-Class SVM |
TIT
2002
13 years 5 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
IJPRAI
2010
13 years 3 months ago
2010
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...