192 search results - page 25 / 39 » A Note on the Decomposition Methods for Support Vector Regre... |
134
Voted
GECCO
2010
Springer
15 years 6 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...
148
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GECCO
2008
Springer
15 years 4 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 ...
150
Voted
ICASSP
2011
IEEE
14 years 7 months 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...
119
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EMMCVPR
2005
Springer
15 years 9 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 ...
139
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ESANN
2004
15 years 4 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...