2363 search results - page 111 / 473 » Learning Algorithms for Domain Adaptation |
133
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AIIDE
2006
15 years 4 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
141
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OSDI
2008
ACM
16 years 3 months ago
2008
ACM
Internet routing is mostly based on static information-it's dynamicity is limited to reacting to changes in topology. Adaptive performance-based routing decisions would not o...
144
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CVPR
2012
IEEE
13 years 5 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...
133
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ICML
1994
IEEE
15 years 6 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
137
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ECCV
2008
Springer
16 years 4 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...