269 search results - page 27 / 54 » A Minimax Method for Learning Functional Networks |
ICNS
2008
IEEE
14 years 2 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...
IJCNN
2008
IEEE
14 years 1 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...
ICA
2004
Springer
14 years 27 days 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...
ICANN
2005
Springer
14 years 1 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...
NIPS
1996
13 years 8 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...