1521 search results - page 206 / 305 » A learning model for oscillatory networks |
163
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GECCO
2007
Springer
16 years 16 days ago
2007
Springer
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
150
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ICANN
2005
Springer
15 years 12 months ago
2005
Springer
- In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm...
173
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IWANN
2005
Springer
15 years 12 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
135
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
197
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EUSFLAT
2009
15 years 4 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...