1305 search results - page 27 / 261 » An Optimization Algorithm Based on Active and Instance-Based... |
113
Voted
SDM
2010
SIAM
15 years 3 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
126
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
139
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IJCAI
2001
15 years 3 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
126
Voted
KDD
2009
ACM
16 years 3 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
114
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IROS
2008
IEEE
15 years 8 months ago
2008
IEEE
— We describe algorithms to build self-assembling robot systems composed of active modular robots and passive bars. The distributed algorithms are based on locally optimal matchi...