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» Modelling adaptive services for distributed systems
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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
GRID
2007
Springer
14 years 1 months ago
Resource usage policy expression and enforcement in grid computing
-- To date, not enough attention has been paid to issues surrounding the description and enforcement of policies for controlling Grid resources. These policies define the permitted...
Jun Feng, Glenn S. Wasson, Marty Humphrey
NSDI
2008
13 years 10 months ago
Phalanx: Withstanding Multimillion-Node Botnets
Large-scale distributed denial of service (DoS) attacks are an unfortunate everyday reality on the Internet. They are simple to execute and with the growing prevalence and size of...
Colin Dixon, Thomas E. Anderson, Arvind Krishnamur...
PPSN
2000
Springer
13 years 11 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
EUROGRAPHICS
2010
Eurographics
14 years 3 months ago
TouchTone: Interactive Local Image Adjustment Using Point-and-Swipe
Recent proliferation of camera phones, photo sharing and social network services has significantly changed how we process our photos. Instead of going through the traditional dow...
Chia-Kai Liang, Wei-Chao Chen, Natasha Gelfand