326 search results - page 26 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
113
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
155
Voted
CIKM
2010
Springer
15 years 26 days ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
116
Voted
IDEAL
2004
Springer
15 years 8 months ago
2004
Springer
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
116
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LREC
2010
15 years 4 months ago
2010
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
163
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CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
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...