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AAAI
2006
13 years 11 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ESANN
1998
13 years 11 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
TVLSI
2010
13 years 5 months ago
On the Power Management of Simultaneous Multithreading Processors
SMT processors are widely used in high performance computing tasks. However, with the improved performance of the SMT architecture, the utilization of their functional units is sig...
Ahmed Youssef, Mohamed Zahran, Mohab Anis, Mohamed...
JVA
2006
IEEE
14 years 4 months ago
Simulated Annealing for Grid Scheduling Problem
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Stefka Fidanova
ICPP
2003
IEEE
14 years 3 months ago
Accurately Modeling Workload Interactions for Deploying Prefetching in Web Servers
Although Web prefetching is regarded as an effective method to improve client access performance, the associated overhead prevents it from being widely deployed. Specifically, a ...
Xin Chen, Xiaodong Zhang