Feature Subset Search using Genetic Algorithms (0)
by
F. J. Ferri
,
V. Kadirkamanathan
,
J. Kittler
| Venue: | in: IEE/IEEE Workshop on Natural Algorithms in Signal Processing, IEE |
| Citations: | 9 - 1 self |
BibTeX
@INPROCEEDINGS{Ferri_featuresubset,
author = {F. J. Ferri and V. Kadirkamanathan and J. Kittler},
title = {Feature Subset Search using Genetic Algorithms},
booktitle = {in: IEE/IEEE Workshop on Natural Algorithms in Signal Processing, IEE},
year = {},
publisher = {Press}
}
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Abstract
The purpose of this paper is the study and application of genetic algorithms to a classical problem in Pattern Recognition consisting of selecting the best subset of features from a complete set of measurements with respect to a certain criterion function which maximises the classification performance using such feature subset.
Citations
| 6071 | Genetic Algorithms - Goldberg - 1989 |
| 100 | A note on genetic algorithms for large-scale feature selection - SIEDLECKI, J - 1989 |
| 94 | Adaptation in Natural and Arti Systems - Holland - 1992 |
| 69 | Feature set search algorithms - Kittler - 1978 |
| 17 | constrained Genetic Optimization via Dynamic Reward-Penalty Balancig and Its Use in Pattern Recognition - Siedlecki, Skalanski - 1989 |
| 5 | Feature Selection in statistical pattern recognition - Choakjarernwanit - 1992 |
| 1 | Feature Selection for Automatic Classi on Non-Gaussian Data - Foroutan, Sklansky - 1987 |
| 1 | The Algorithms for Sequential Feature Selection Based on the Measure of Discriminative Power - Pecinovsky, Pudil, et al. - 1982 |
