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» Evolving Complex Neural Networks
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MLDM
2007
Springer
15 years 4 months ago
Ensemble-based Feature Selection Criteria
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...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
IJCNN
2006
IEEE
15 years 4 months ago
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing
—Event-related potentials (ERPs) recorded at the scalp are indicators of brain activity associated with eventrelated information processing; hence they may be suitable for the as...
Akaysha C. Tang, Matthew T. Sutherland, Christophe...
IJCNN
2006
IEEE
15 years 4 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
85
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ICCS
2003
Springer
15 years 3 months ago
Export Behaviour Modeling Using EvoNF Approach
The academic literature suggests that the extent of exporting by multinational corporation subsidiaries (MCS) depends on their product manufactured, resources, tax protection, cus...
Ron Edwards, Ajith Abraham, Sonja Petrovic-Lazarev...
ICANN
2009
Springer
15 years 2 months ago
Computing with Probabilistic Cellular Automata
Abstract. We investigate the computational capabilities of probabilistic cellular automata by means of the density classification problem. We find that a specific probabilistic ...
Martin Schüle, Thomas Ott, Ruedi Stoop