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» Genetic Programming with Active Data Selection
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BMCBI
2005
94views more  BMCBI 2005»
13 years 9 months ago
T.I.M.S: TaqMan Information Management System, tools to organize data flow in a genotyping laboratory
Background: Single Nucleotide Polymorphism (SNP) genotyping is a major activity in biomedical research. The Taqman technology is one of the most commonly used approaches. It produ...
Stéphanie Monnier, David G. Cox, Tim Albion...
ASIAMS
2008
IEEE
14 years 4 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 1 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
ICSE
2008
IEEE-ACM
14 years 10 months ago
Creating a cognitive metric of programming task difficulty
Conducting controlled experiments about programming activities often requires the use of multiple tasks of similar difficulty. In previously reported work about a controlled exper...
Brian de Alwis, Gail C. Murphy, Shawn Minto
CEC
2007
IEEE
14 years 1 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...