869 search results - page 120 / 174 » An Effective Learning Method for Max-Min Neural Networks |
139
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AIIDE
2006
15 years 5 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
141
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CDC
2010
IEEE
14 years 11 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
123
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...
158
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BMCBI
2008
15 years 4 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
122
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy ...