59 search results - page 2 / 12 » Universal Kernels |
JMLR
2010
13 years 2 months ago
2010
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
PDPTA
2003
13 years 8 months ago
2003
We present a novel approach to parallel Boolean satisfiability (SAT) checking. A distinctive feature of our parallel SAT checker is that it incorporates all essential heuristics ...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
SAMOS
2004
Springer
14 years 22 days ago
2004
Springer
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...