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Combined feature selection and similarity modelling in case-based reasoning using hierarchical memeticalgorithm
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9857-4317
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
2010 (English)In: Proc. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, 2010, article number: 5586421- p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a new approach to discover knowledge about key features together with their degrees of importance in the context of case-based reasoning. A hierarchical memetic algorithm is designed for this purpose to search for the best feature subsets and similarity models at the same time. The objective of the memetic search is to optimize the possibility distributions derived for individual cases in the case library under a leave-one-out procedure. The information about the importance of selected features is revealed from the magnitudes of parameters of the learned similarity model. The effectiveness of the proposed approach has been shown by evaluation results on the benchmark data sets from the UCI repository and in comparisons with other machine learning techniques.

Place, publisher, year, edition, pages
2010. article number: 5586421- p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-10835DOI: 10.1109/CEC.2010.5586421Scopus ID: 2-s2.0-79959482583ISBN: 978-142446910-9 (print)OAI: oai:DiVA.org:mdh-10835DiVA: diva2:369139
Conference
2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010; Barcelona; Spain; 18 July 2010 through 23 July 2010
Available from: 2010-11-10 Created: 2010-11-10 Last updated: 2013-12-03Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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