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» Skeleton based performance prediction on shared networks
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BMCBI
2006
146views more  BMCBI 2006»
15 years 4 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
116
Voted
ECBS
2008
IEEE
86views Hardware» more  ECBS 2008»
15 years 11 months ago
A Formal Model for Network-Wide Security Analysis
Network designers perform challenging tasks with so many configuration options that it is often hard or even impossible for a human to predict all potentially dangerous situation...
Petr Matousek, Jaroslav Ráb, Ondrej Rysavy,...
COR
2008
112views more  COR 2008»
15 years 4 months ago
Buffer allocation in general single-server queueing networks
-- The optimal buffer allocation in queueing network systems is a difficult stochastic, non-linear, integer mathematical programming problem. Moreover, the objective function, the ...
Frederico R. B. Cruz, A. R. Duarte, Tom Van Woense...
156
Voted
VTC
2007
IEEE
132views Communications» more  VTC 2007»
15 years 10 months ago
Collaborative Information Revelation and Collusion in "Word-of-Mouth" Access Selection Schemes
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
Pietro Lungaro
ESANN
2003
15 years 6 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...