364 search results - page 7 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
140
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ICTAI
2003
IEEE
15 years 5 months ago
2003
IEEE
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
112
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ENGL
2007
14 years 11 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...