3668 search results - page 484 / 734 » Margin Distribution and Learning |
181
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GECCO
2010
Springer
15 years 6 months ago
2010
Springer
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
151
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INFFUS
2008
15 years 6 months ago
2008
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
151
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ML
2002
ACM
15 years 6 months ago
2002
ACM
Reinforcement learning policies face the exploration versus exploitation dilemma, i.e. the search for a balance between exploring the environment to find profitable actions while t...
155
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ML
2002
ACM
15 years 6 months ago
2002
ACM
For two-class datasets, we provide a method for estimating the generalization error of a bag using out-of-bag estimates. In bagging, each predictor (single hypothesis) is learned ...
184
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...