530 search results - page 47 / 106 » Learning Bounds for Domain Adaptation |
120
Voted
AMS
2007
Springer
15 years 6 months ago
2007
Springer
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
101
Voted
AAAI
1993
15 years 1 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
122
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
117
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ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
76
Voted
AAAI
2008
15 years 2 months ago
2008
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...