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» Genetic Approach for Optimizing Ensembles of Classifiers
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TEC
2008
146views more  TEC 2008»
13 years 5 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
ICPR
2004
IEEE
14 years 6 months ago
Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm
In this work, the authors have evaluated almost 20 millions ensembles of classifiers generated by several methods. Trying to optimize those ensembles based on the nearest neighbou...
Guillaume Tremblay, Robert Sabourin, Patrick Maupi...
EMO
2005
Springer
77views Optimization» more  EMO 2005»
13 years 10 months ago
Multi-objective Genetic Algorithms to Create Ensemble of Classifiers
Luiz E. Soares de Oliveira, Marisa E. Morita, Robe...
BMCBI
2008
170views more  BMCBI 2008»
13 years 5 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
SAC
2008
ACM
13 years 4 months ago
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper ...
Paulo Vinicius Wolski Radtke, Robert Sabourin, Ton...