1325 search results - page 174 / 265 » Algorithm Selection using Reinforcement Learning |
110
Voted
ICANN
2001
Springer
15 years 6 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
159
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AE
2007
Springer
15 years 8 months ago
2007
Springer
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
123
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CIDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
131
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BMCBI
2010
15 years 2 months ago
2010
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
ICIP
2007
IEEE
15 years 8 months ago
2007
IEEE
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...