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TWC
2010
15 years 1 months ago
Optimized opportunistic multicast scheduling (OMS) over wireless cellular networks
Optimized opportunistic multicast scheduling (OMS) is studied for cellular networks, where the problem of efficiently transmitting a common set of fountain-encoded data from a sin...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
15 years 5 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
NETWORK
2008
119views more  NETWORK 2008»
15 years 6 months ago
Improving the Performance of Route Control Middleboxes in a Competitive Environment
Multihomed subscribers are increasingly adopting intelligent route control solutions to optimize the cost and end-to-end performance of the traffic routed among the different link...
Marcelo Yannuzzi, Xavier Masip-Bruin, Eva Mar&iacu...
HICSS
2003
IEEE
207views Biometrics» more  HICSS 2003»
15 years 12 months ago
Formalizing Multi-Agent POMDP's in the context of network routing
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
Bharaneedharan Rathnasabapathy, Piotr J. Gmytrasie...
KES
1999
Springer
15 years 11 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli