204 search results - page 1 / 41 » Entropy Numbers, Operators and Support Vector Kernels |
EUROCOLT
1999
Springer
13 years 10 months ago
1999
Springer
COLT
1999
Springer
13 years 10 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...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
IWANN
2005
Springer
13 years 11 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...
JMLR
2011
13 years 1 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...