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195
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ANNES
1995
15 years 8 months ago
1995
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
148
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ANNPR
2008
Springer
15 years 6 months ago
2008
Springer
Recursive Feature Elimination RFE combined with feature-ranking is an effective technique for eliminating irrelevant features. In this paper, an ensemble of MLP base classifiers wi...
112
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AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
122
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ESANN
2007
15 years 6 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
133
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ESANN
2008
15 years 6 months ago
2008
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...