559 search results - page 28 / 112 » Neural methods for non-standard data |
149
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IJCNN
2000
IEEE
15 years 8 months ago
2000
IEEE
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
132
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FBIT
2007
IEEE
15 years 10 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
141
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ESANN
2008
15 years 5 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
112
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ICANN
2003
Springer
15 years 9 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
124
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ICANN
2001
Springer
15 years 8 months ago
2001
Springer
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...