Genetic algorithms as a tool for feature selection in machine learning

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 1992-November, Issue , 1992, Pages 200-203

  Vafaie, H ^a   De Jong, K ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GENETIC ALGORITHMS; TEXTURES;

CLASSIFICATION RULES; FRONT END; MACHINE LEARNING TECHNIQUES; REAL-WORLD; RULE INDUCTION; TEXTURE CLASSIFICATION;

MACHINE LEARNING;

EID: 85027109147     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TAI.1992.246402     Document Type: Conference Paper

References (7)

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3. Devijver, P., and Kittler, J. "PATTERN RECOGNITION: A STATISTICAL APPROACH," Prentice Hall, 1982.
4. Grefenstette, John J. Technical Report CS-83-11, Computer Science Dept., Vanderbilt Univ., 1984.
5. Ichino, M., and Sklansky, J. "Optimum Feature selection by zero-one Integer Programming," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 14, No. 5, 1984a.
6. Michalski, R.S., Mozetic, I., Hong, J.R., and Lavrac, N. "The Multi-purpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains, AAA1, 1986.
7. Vafaie, H., and De Jong, K.A., "Improving the performance of a Rule Induction System Using Genetic Algorithms," Proceedings of the First International Workshop on MULTISTRATEGYLEARNING, Harpers Ferry, W. Virginia, USA, 1991.