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» Using Genetic Algorithms for Solving Hard Problems in GIS
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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
CIKM
2008
Springer
13 years 9 months ago
Multi-aspect expertise matching for review assignment
Review assignment is a common task that many people such as conference organizers, journal editors, and grant administrators would have to do routinely. As a computational problem...
Maryam Karimzadehgan, ChengXiang Zhai, Geneva G. B...
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 11 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
CASES
2007
ACM
13 years 11 months ago
Performance optimal processor throttling under thermal constraints
We derive analytically, the performance optimal throttling curve for a processor under thermal constraints for a given task sequence. We found that keeping the chip temperature co...
Ravishankar Rao, Sarma B. K. Vrudhula
ATAL
2006
Springer
13 years 11 months ago
On the complexity of practical ATL model checking
We investigate the computational complexity of reasoning about multi-agent systems using the cooperation logic ATL of Alur, Henzinger, and Kupferman. It is known that satisfiabili...
Wiebe van der Hoek, Alessio Lomuscio, Michael Wool...