2010 search results - page 36 / 402 » Feature Subset Selection Using a Genetic Algorithm |
IDA
2002
Springer
13 years 8 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
JMLR
2010
13 years 3 months ago
2010
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
BMCBI
2008
13 years 9 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
IWANN
2011
Springer
12 years 11 months ago
2011
Springer
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
CIMCA
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper presents the comparison of performance on a simple genetic algorithm (SGA) using roulette wheel selection and tournament selection. A SGA is mainly composed of three ge...