709 search results - page 84 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
137
Voted
NECO
1998
15 years 3 months ago
1998
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
147
Voted
ESANN
2004
15 years 5 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
111
Voted
TSP
2008
15 years 3 months ago
2008
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
188
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
137
Voted
CCGRID
2007
IEEE
15 years 10 months ago
2007
IEEE
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...