4255 search results - page 381 / 851 » On Learning Boolean Functions |
197
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NIPS
2008
15 years 8 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
140
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NIPS
2007
15 years 8 months ago
2007
A new algorithm for on-line learning linear-threshold functions is proposed which efficiently combines second-order statistics about the data with the ”logarithmic behavior” ...
186
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
180
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
177
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KCAP
2009
ACM
16 years 1 months ago
2009
ACM
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...