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» Removing the Genetics from the Standard Genetic Algorithm
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EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
15 years 1 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
BMCBI
2006
202views more  BMCBI 2006»
14 years 10 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
BMCBI
2007
171views more  BMCBI 2007»
14 years 10 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
BMCBI
2010
138views more  BMCBI 2010»
14 years 10 months ago
A model-independent approach to infer hierarchical codon substitution dynamics
Background: Codon substitution constitutes a fundamental process in molecular biology that has been studied extensively. However, prior studies rely on various assumptions, e.g. r...
Olof Görnerup, Martin Nilsson Jacobi
ICDAR
2003
IEEE
15 years 3 months ago
Numeral Recognition by Weighting Local Decisions
This paper presents a new technique to improve the combination of classification decisions obtained from local analysis of patterns. Specifically, a genetic algorithm is used to d...
Giovanni Dimauro, Sebastiano Impedovo, Raffaele Mo...