409 search results - page 29 / 82 » Representation of Functional Data in Neural Networks |
111
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ECAI
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
JCC
2007
14 years 10 months ago
2007
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
IWANN
2001
Springer
15 years 2 months ago
2001
Springer
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
110
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ATAL
2005
Springer
15 years 3 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
78
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TNN
2011
14 years 4 months ago
2011
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...