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Coevolution of active vision and feature selection

✍ Scribed by Dario Floreano; Toshifumi Kato; Davide Marocco; Eric Sauser

Book ID
106106741
Publisher
Springer-Verlag
Year
2004
Tongue
English
Weight
490 KB
Volume
90
Category
Article
ISSN
0340-1200

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Feature selection by a genetic algorithm
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✍ Chtioui, Younes; Bertrand, Dominique; Barba, Dominique πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 401 KB πŸ‘ 2 views

Genetic algorithms (GAs) are efficient search methods based on the paradigm of natural selection and population genetics. A simple GA was applied for selecting the optimal feature subset among an initial feature set of larger size. The performances were tested on a practical pattern recognition prob