363 search results - page 16 / 73 » Portfolio selection using neural networks |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
IWANN
2005
Springer
14 years 1 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...
PRL
2008
13 years 7 months ago
2008
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
WAPCV
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...