1701 search results - page 201 / 341 » Learning Mappings with Neural Network |
138
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CEC
2007
IEEE
16 years 9 days ago
2007
IEEE
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
143
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NECO
2002
15 years 5 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
157
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SEMWEB
2005
Springer
15 years 11 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
200
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
162
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...