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» Optimal Conclusive Sets for Comparator Networks
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BMCBI
2005
122views more  BMCBI 2005»
13 years 8 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
BMCBI
2010
185views more  BMCBI 2010»
13 years 3 months ago
MetaPIGA v2.0: maximum likelihood large phylogeny estimation using the metapopulation genetic algorithm and other stochastic heu
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
Raphaël Helaers, Michel C. Milinkovitch
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 3 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
AAIM
2007
Springer
126views Algorithms» more  AAIM 2007»
14 years 3 months ago
Mixed Criteria Packet Scheduling
Packet scheduling in networks with quality of service constraints has been extensively studied as a single criterion scheduling problem. The assumption underlying single criterion ...
Chad R. Meiners, Eric Torng
MOBIHOC
2009
ACM
14 years 9 months ago
Efficient uncoordinated FHSS anti-jamming communication
We address the problem of jamming-resistant communication in scenarios in which the communicating parties do not share secret keys. This includes scenarios where the communicating...
Mario Strasser, Christina Pöpper, Srdjan Capk...