Classification Strategies for Image Classification in Genetic Programming

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Summary

The results suggest that, while the static boundary selection method works well on relatively easy binary or tertiary image classification problems with class labels arranged in the natural order, the two dynamic range selection methods outperform the static method for more difficult, multiple class problems.

Type
article
Published
2003-01-01
Cited by
54
References
12

Keywords

Genetic programming, Computer science, Artificial intelligence, Selection (genetic algorithm), Class (philosophy)

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