2924 search results - page 154 / 585 » On the Use of Evidence in Neural Networks |
104
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
121
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NN
2008
Springer
15 years 1 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
116
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ISNN
2010
Springer
15 years 7 days ago
2010
Springer
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
ESANN
2008
15 years 3 months ago
2008
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
ESANN
2008
15 years 3 months ago
2008
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...