364 search results - page 19 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
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IJCNN
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
149
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NIPS
1998
15 years 3 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
107
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NCA
2007
IEEE
15 years 2 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
121
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IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
122
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ESANN
2003
15 years 4 months ago
2003
Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...