2363 search results - page 172 / 473 » Learning Algorithms for Domain Adaptation |
143
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ESANN
2006
15 years 4 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
115
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
116
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IJCAI
1997
15 years 4 months ago
1997
Because observing the same actions can warrant different conclusions depending on who executed the actions, a goal recognizer that works well on one person might not work well on ...
146
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AMR
2007
Springer
15 years 9 months ago
2007
Springer
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
141
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NIPS
2007
15 years 4 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...