326 search results - page 26 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
GECCO
2007
Springer
14 years 2 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...
CIKM
2010
Springer
13 years 5 months 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, ...
IDEAL
2004
Springer
14 years 1 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...
LREC
2010
13 years 10 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...
CEC
2007
IEEE
14 years 13 days 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...