83 search results - page 3 / 17 » Rademacher Chaos Complexities for Learning the Kernel Proble... |
AAAI
2012
11 years 10 months ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
IPL
2011
13 years 2 months ago
2011
We provide sample complexity of the problem of learning halfspaces with monotonic noise, using the regularized least squares algorithm in the reproducing kernel Hilbert spaces (RKH...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce a family of kernels on discrete data structures within the general class of decomposition kernels. A weighted decomposition kernel (WDK) is computed by dividing objec...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the us...