9888 search results - page 204 / 1978 » Active Algorithm Selection |
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PKDD
2010
Springer
15 years 28 days ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
112
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ICANNGA
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
112
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COLT
2006
Springer
15 years 6 months ago
2006
Springer
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...
127
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SCCC
2005
IEEE
15 years 8 months ago
2005
IEEE
We present a contribution on dynamic load balancing for distributed and parallel object-oriented applications. We specially target on peer to peer systems and its capability to di...
137
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CORR
2011
Springer
14 years 6 months ago
2011
Springer
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...