364 search results - page 4 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
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WSC
2004
14 years 11 months ago
2004
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
JUCS
2011
14 years 4 months ago
2011
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
IWANN
2007
Springer
15 years 3 months ago
2007
Springer
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...