1701 search results - page 141 / 341 » Learning Mappings with Neural Network |
192
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ML
2007
ACM
15 years 5 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
162
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IJCNN
2006
IEEE
16 years 4 days ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
194
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NEUROSCIENCE
2001
Springer
15 years 10 months ago
2001
Springer
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
168
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EUROCOLT
1997
Springer
15 years 10 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
157
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IPPS
1998
IEEE
15 years 10 months ago
1998
IEEE
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...