2103 search results - page 71 / 421 » Approximate Learning of Dynamic Models |
142
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
117
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ECAI
1994
Springer
15 years 6 months ago
1994
Springer
This paper introduces a simple yete ective method for using causal domain knowledge for learning to control dynamic systems. Elementary qualitative causal dependencies of the domai...
105
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WSC
2004
15 years 4 months ago
2004
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
116
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
114
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WECWIS
2003
IEEE
15 years 7 months ago
2003
IEEE
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...