2440 search results - page 185 / 488 » Learn .MT: A New Approach to Incremental Learning |
192
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ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
202
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RSS
2007
15 years 8 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
179
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
180
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CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
211
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...