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» Genetic Algorithms for Component Analysis
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GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
14 years 10 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
ISSRE
2000
IEEE
15 years 1 months ago
Building Trust into OO Components Using a Genetic Analogy
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Benoit Baudry, Vu Le Hanh, Jean-Marc Jéz&ea...
CIBCB
2008
IEEE
15 years 3 months ago
Very large scale ReliefF for genome-wide association analysis
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
Margaret J. Eppstein, Paul Haake
ICASSP
2011
IEEE
14 years 1 months ago
Iterative PCA for population structure analysis
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
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ICPR
2002
IEEE
15 years 10 months ago
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sens...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...