622 search results - page 34 / 125 » Stochastic programming approach to optimization under uncert... |
COLT
2007
Springer
15 years 6 months ago
2007
Springer
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
112
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EMSOFT
2007
Springer
15 years 3 months ago
2007
Springer
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...
109
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AUTOMATICA
2006
14 years 12 months ago
2006
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
107
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IJCAI
2001
15 years 1 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
127
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ICPADS
1994
IEEE
15 years 3 months ago
1994
IEEE
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...