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Genetically Evolved Trees Representing Ensembles
School of Business and Informatics, University of Borås, Sweden.
School of Business and Informatics, University of Borås, Sweden.
School of Business and Informatics, University of Borås, Sweden.
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2006 (English)In: Artificial intelligence and soft computing - ICAISC 2006: 8th international conference, Zakopane, Poland, June 25 - 29, 2006 ; proceedings, 2006, 613-622 p.Conference paper, (Refereed)
Abstract [en]

We have recently proposed a novel algorithm for ensemble creation called GEMS (Genetic Ensemble Member Selection). GEMS first trains a fixed number of neural networks (here twenty) and then uses genetic programming to combine these networks into an ensemble. The use of genetic programming makes it possible for GEMS to not only consider ensembles of different sizes, but also to use ensembles as intermediate building blocks. In this paper, which is the first extensive study of GEMS, the representation language is extended to include tests partitioning the data, further increasing flexibility. In addition, several micro techniques are applied to reduce overfitting, which appears to be the main problem for this powerful algorithm. The experiments show that GEMS, when evaluated on 15 publicly available data sets, obtains very high accuracy, clearly outperforming both straightforward ensemble designs and standard decision tree algorithms.

Place, publisher, year, edition, pages
2006. 613-622 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 4029
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-1587DOI: 10.1007/11785231_64ISI: 000239600000064Scopus ID: 2-s2.0-33746239343ISBN: 978-3-540-35748-3 OAI: oai:DiVA.org:his-1587DiVA: diva2:31863
Available from: 2008-02-08 Created: 2008-02-08 Last updated: 2012-12-10

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Löfström, TuveKönig, RikardNiklasson, Lars
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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