1325 search results - page 154 / 265 » Algorithm Selection using Reinforcement Learning |
108
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DIS
2008
Springer
15 years 3 months ago
2008
Springer
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
122
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
139
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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...
107
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ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
167
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MICCAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, a...