269 search results - page 27 / 54 » A Minimax Method for Learning Functional Networks |
123
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ICNS
2008
IEEE
15 years 10 months ago
2008
IEEE
: Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network con...
113
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
127
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ICA
2004
Springer
15 years 9 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
113
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
135
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NIPS
1996
15 years 5 months ago
1996
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...