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ATAL
2007
Springer
14 years 2 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
HPDC
2007
IEEE
14 years 2 months ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely
TSP
2010
13 years 2 months ago
ARMA signals with specified symmetric marginal probability distribution
Except in the case of normal (i.e Gaussian) distribution, it is very difficult to calculate the marginal probability distribution of ARMA signals. By using a particular form of mo...
Bernard C. Picinbono
IPPS
2008
IEEE
14 years 2 months ago
Energy efficient packet classification hardware accelerator
Packet classification is an important function in a router’s line-card. Although many excellent solutions have been proposed in the past, implementing high speed packet classifi...
Alan Kennedy, Xiaojun Wang, Bin Liu
GROUP
2010
ACM
13 years 5 months ago
Enhancing group recommendation by incorporating social relationship interactions
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...