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JSCIC
2008
107views more  JSCIC 2008»
9 years 10 months ago
A Hierarchy of Approximations of the Master Equation Scaled by a Size Parameter
Solutions of the master equation are approximated using a hierarchy of models based on the solution of ordinary differential equations: the macroscopic equations, the linear noise...
Lars Ferm, Per Lötstedt, Andreas Hellander
SE
2016
4 years 6 months ago
Scaling size and parameter spaces in variability-aware software performance models
Abstract—In software performance engineering, what-if scenarios, architecture optimization, capacity planning, run-time adaptation, and uncertainty management of realistic models...
Matthias Kowal, Max Tschaikowski, Mirco Tribastone...
BMCBI
2006
101views more  BMCBI 2006»
9 years 10 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
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