869 search results - page 32 / 174 » An Effective Learning Method for Max-Min Neural Networks |
FSKD
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
BMCBI
2011
13 years 3 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...