382 search results - page 11 / 77 » Multi-objective pattern and feature selection by a genetic a... |
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
IJIT
2004
13 years 8 months ago
2004
Corrosion causes many failures in chemical process installations. These failures generate high costs, therefore an effective corrosion monitoring system obtrudes. This paper focuse...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
ECML
2003
Springer
14 years 19 days ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...