382 search results - page 6 / 77 » Multi-objective pattern and feature selection by a genetic a... |
CCIA
2005
Springer
13 years 9 months ago
2005
Springer
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
CSDA
2008
13 years 7 months ago
2008
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
FSKD
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
ICTAI
1992
IEEE
13 years 11 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...