1325 search results - page 121 / 265 » Algorithm Selection using Reinforcement Learning |
129
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MICAI
2010
Springer
15 years 1 months ago
2010
Springer
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
124
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ATAL
2006
Springer
15 years 6 months ago
2006
Springer
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
115
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SIGMOD
2010
ACM
15 years 7 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
125
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AAAI
2000
15 years 4 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
121
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IJAR
2010
15 years 1 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...