869 search results - page 133 / 174 » An Effective Learning Method for Max-Min Neural Networks |
146
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GECCO
1999
Springer
15 years 8 months ago
1999
Springer
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
124
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NCA
2007
IEEE
15 years 3 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
163
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PAKDD
2000
ACM
15 years 8 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
177
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
165
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...