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GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 5 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 4 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
97
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BMCBI
2005
122views more  BMCBI 2005»
14 years 10 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...
84
Voted
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 4 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
TMI
2008
84views more  TMI 2008»
14 years 10 months ago
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
In this article, we propose an automatic method to detect microaneurysms in retina photographs. Microaneurysms are the most frequent and usually the first lesions to appear as a co...
Gwénolé Quellec, Mathieu Lamard, P. ...