336 search results - page 26 / 68 » Optimizing resources in model selection for support vector m... |
139
Voted
JMLR
2011
14 years 10 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
150
Voted
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 ...
129
Voted
JMLR
2006
15 years 3 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
121
click to vote
EMO
2009
Springer
15 years 10 months ago
2009
Springer
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
126
Voted
IWANN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...