813 search results - page 102 / 163 » Ensemble Algorithms in Reinforcement Learning |
162
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
116
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
154
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ADHOCNETS
2010
Springer
15 years 1 months ago
2010
Springer
The current specification for IEEE 802.15.4 beacon-enabled networks does not define how active and sleep schedules should be configured in order to achieve the optimal network perf...
105
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ICDM
2006
IEEE
15 years 10 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
116
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...