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2004
Springer

Detecting and Pruning Introns for Faster Decision Tree Evolution

12 years 1 months ago
Detecting and Pruning Introns for Faster Decision Tree Evolution
We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analyzing the decision trees evolved we can remove the unessential parts, called introns, from the discovered decision trees. Since the resulting trees contain only useful information they are smaller and easier to understand. Moreover, by using these pruned decision trees in a fitness cache we can significantly reduce the number of unnecessary fitness calculations.
Jeroen Eggermont, Joost N. Kok, Walter A. Kosters
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PPSN
Authors Jeroen Eggermont, Joost N. Kok, Walter A. Kosters
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