31 search results - page 1 / 7 » Robustness of reweighted Least Squares Kernel Based Regressi... |
MA
2010
Springer
12 years 11 months ago
2010
Springer
CDC
2009
IEEE
13 years 7 months ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
ICASSP
2008
IEEE
13 years 10 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
IDEAL
2004
Springer
13 years 9 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
IWANN
2005
Springer
13 years 9 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...