1701 search results - page 235 / 341 » Learning Mappings with Neural Network |
157
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ICANN
2009
Springer
15 years 12 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
131
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IJCNN
2008
IEEE
15 years 12 months ago
2008
IEEE
— In this paper we address the reliability of policies derived by Reinforcement Learning on a limited amount of observations. This can be done in a principled manner by taking in...
178
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
133
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SIBGRAPI
2003
IEEE
15 years 10 months ago
2003
IEEE
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
132
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ICANN
2003
Springer
15 years 10 months ago
2003
Springer
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...