1106 search results - page 62 / 222 » On regularization algorithms in learning theory |
155
Voted
TSMC
2010
14 years 11 months ago
2010
Traditional planning assumes reachability goals and/or full observability. In this paper, we propose a novel solution for safety and reachability planning with partial observabilit...
123
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AAAI
2007
15 years 7 months ago
2007
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
155
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MM
2009
ACM
15 years 11 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
150
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AAAI
2008
15 years 7 months ago
2008
The recent years have witnessed a surge of interests in semi-supervised learning methods. A common strategy for these algorithms is to require that the predicted data labels shoul...
125
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...