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CP
2006
Springer
15 years 1 months ago
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs
This paper describes a complete and efficient solution to the stochastic allocation and scheduling for Multi-Processor System-on-Chip (MPSoC). Given a conditional task graph charac...
Michele Lombardi, Michela Milano
AI
1998
Springer
14 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
IM
2003
14 years 11 months ago
Performance Management for Cluster Based Web Services
: We present an architecture and prototype implementation of a performance management system for cluster-based web services. The system supports multiple classes of web services tr...
Ronald M. Levy, Jay Nagarajarao, Giovanni Pacifici...
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CG
2000
Springer
15 years 1 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
ICASSP
2008
IEEE
15 years 4 months ago
Robust kernel density estimation
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
JooSeuk Kim, Clayton Scott