1701 search results - page 125 / 341 » Learning Mappings with Neural Network |
131
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ICASSP
2009
IEEE
15 years 12 months ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
160
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ICANN
2009
Springer
15 years 9 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
172
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CORR
2004
Springer
15 years 5 months ago
2004
Springer
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
118
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IPPS
1998
IEEE
15 years 9 months ago
1998
IEEE
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...
144
Voted
ISCAS
1995
IEEE
15 years 8 months ago
1995
IEEE
This paper proposes a multilevel logic approach to output coding using multilevel neurons in the output layer. Training convergence for a single multilevel perceptron is considere...