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149
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ICASSP
2009
IEEE
15 years 7 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
IJON
2006
138views more  IJON 2006»
15 years 3 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
128
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PVLDB
2008
100views more  PVLDB 2008»
15 years 2 months ago
Efficiently approximating query optimizer plan diagrams
Given a parametrized n-dimensional SQL query template and a choice of query optimizer, a plan diagram is a color-coded pictorial enumeration of the execution plan choices of the o...
Atreyee Dey, Sourjya Bhaumik, Harish D., Jayant R....
146
Voted
EVOW
2006
Springer
15 years 7 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 8 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux