Detecting and Pruning Introns for Faster Decision Tree Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Eggermont:PPSN:2004,
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author = "Jeroen Eggermont and Joost N. Kok and
Walter A. Kosters",
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title = "Detecting and Pruning Introns for Faster Decision Tree
Evolution",
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booktitle = "Parallel Problem Solving from Nature - PPSN VIII",
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year = "2004",
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editor = "Xin Yao and Edmund Burke and Jose A. Lozano and
Jim Smith and Juan J. Merelo-Guerv\'os and
John A. Bullinaria and Jonathan Rowe and
Peter Ti\v{n}o Ata Kab\'an and Hans-Paul Schwefel",
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volume = "3242",
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pages = "1071--1080",
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series = "LNCS",
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address = "Birmingham, UK",
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publisher_address = "Berlin",
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month = "18-22 " # sep,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming, bloat",
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ISBN = "3-540-23092-0",
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URL = "http://www.liacs.nl/~kosters/ppsn8/ppsn2004.pdf",
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URL = "https://rdcu.be/dc0jz",
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DOI = "doi:10.1007/b100601",
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DOI = "doi:10.1007/978-3-540-30217-9_108",
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size = "10 pages",
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abstract = "We show how the understandability and speed of genetic
programming classification algorithms can be improved,
without affecting the classification accuracy. By
analysing 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.",
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notes = "PPSN-VIII",
- }
Genetic Programming entries for
Jeroen Eggermont
Joost Kok
Walter A Kosters
Citations