683 search results - page 42 / 137 » Generalization Bounds for Learning Kernels |
144
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
110
Voted
COLT
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
123
Voted
COLT
1999
Springer
15 years 8 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
131
Voted
ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— This work considers a combination classificationregression based framework with the proposal of using learned kernels in modified support vector regression to provide...
141
Voted
COLT
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. We derive upper and lower bounds for some statistical estimation problems. The upper bounds are established for the Gibbs algorithm. The lower bounds, applicable for all ...