1325 search results - page 161 / 265 » Algorithm Selection using Reinforcement Learning |
184
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HIS
2001
15 years 3 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
123
Voted
ICMLC
2005
Springer
15 years 8 months ago
2005
Springer
A novel method of Interactive Evolutionary Computation (IEC) for the design of microelectromechanical systems (MEMS) is presented. As the main limitation of IEC is human fatigue, a...
141
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WWW
2006
ACM
16 years 3 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
125
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
134
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...