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Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence (1995)
Herndon, Virginia, USA
Nov. 5, 1995 to Nov. 8, 1995
ISSN: 1082-3409
ISBN: 0-8186-7312-5
pp: 8
Haleh Vafaie , George Mason University
Kenneth de Jong , George Mason University
ABSTRACT
This paper describes an approach being explored to improve the usefulness of machine learning techniques to classify complex, real world data. The approach involves the use of genetic algorithms as a "front end" to a traditional tree induction system (ID3) in order to find the best feature set to be used by the induction system. This approach has been implemented and tested on difficult texture classification problems. The results are encouraging and indicate significant advantages of the presented approach.
INDEX TERMS
Genetic Algorithms, Feature Selection, Feature Construction, Decision Trees, Learning Systems
CITATION

K. de Jong and H. Vafaie, "Genetic Algorithms as a Tool for Restructuring Feature Space Representations," Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence(ICTAI), Herndon, Virginia, USA, 1995, pp. 8.
doi:10.1109/TAI.1995.479372
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