498 search results - page 84 / 100 » Training Neural Networks with GA Hybrid Algorithms |
115
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GECCO
2009
Springer
15 years 5 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
115
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
100
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
118
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IWANN
2005
Springer
15 years 7 months ago
2005
Springer
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
154
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EMNLP
2006
15 years 3 months ago
2006
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...