498 search results - page 94 / 100 » Training Neural Networks with GA Hybrid Algorithms |
134
Voted
ESANN
2006
15 years 3 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
106
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ICANN
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
138
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IEAAIE
2005
Springer
15 years 7 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
126
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GECCO
2009
Springer
15 years 6 months ago
2009
Springer
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
111
Voted
ECAI
2000
Springer
15 years 6 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...