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INFOCOM
2012
IEEE
13 years 4 months ago
Maximizing capacity with power control under physical interference model in duplex mode
—This paper addresses the joint selection and power assignment of a largest set of given links which can communicate successfully at the same time under the physical interference...
Peng-Jun Wan, Dechang Chen, Guojun Dai, Zhu Wang, ...
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
14 years 4 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
APPROX
2004
Springer
119views Algorithms» more  APPROX 2004»
15 years 7 months ago
Approximation Schemes for Broadcasting in Heterogenous Networks
We study the problem of minimizing the broadcast time for a set of processors in a cluster, where processor has transmission time , which is the time taken to send a message to any...
Samir Khuller, Yoo Ah Kim, Gerhard J. Woeginger
ACST
2006
15 years 3 months ago
Experimental study of hybrid-type distributed maximal constraint satisfaction algorithm
A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence. However, practical real-world problems t...
Masato Noto, Masahito Kurihara
ICML
1996
IEEE
15 years 6 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos