2712 search results - page 289 / 543 » On learning algorithm selection for classification |
179
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ECML
2005
Springer
16 years 5 days ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
158
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ICANN
2007
Springer
16 years 24 days 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...
219
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MICCAI
2005
Springer
16 years 4 days 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...
154
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IJRR
2010
15 years 5 months ago
2010
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
200
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...