192 search results - page 25 / 39 » A Note on the Decomposition Methods for Support Vector Regre... |
GECCO
2010
Springer
13 years 12 months ago
2010
Springer
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
EMMCVPR
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
ESANN
2004
13 years 10 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...