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ATAL
2010
Springer
13 years 7 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
HPDC
2010
IEEE
13 years 7 months ago
Cloud computing paradigms for pleasingly parallel biomedical applications
Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this area. Closely coupled applications are s...
Thilina Gunarathne, Tak-Lon Wu, Judy Qiu, Geoffrey...
ECCC
2010
124views more  ECCC 2010»
13 years 6 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
TPDS
2008
118views more  TPDS 2008»
13 years 6 months ago
Interaction of ISPs: Distributed Resource Allocation and Revenue Maximization
The Internet is a hierarchical architecture comprising heterogeneous entities of privately owned infrastructures, where higher level Internet service providers (ISPs) supply conne...
Sam C. M. Lee, Joe Wenjie Jiang, Dah-Ming Chiu, Jo...
TON
1998
90views more  TON 1998»
13 years 5 months ago
Effective bandwidths with priorities
—The notion of effective bandwidths has provided a useful practical framework for connection admission control and capacity planning in high-speed communication networks. The ass...
Arthur W. Berger, Ward Whitt