406 search results - page 1 / 82 » Covering Numbers for Support Vector Machines |
COLT
1999
Springer
13 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...
JMLR
2002
13 years 4 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
IWANN
2005
Springer
13 years 10 months ago
2005
Springer
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...
EUROCOLT
1999
Springer
13 years 9 months ago
1999
Springer
