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A SOM based model combination strategy
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0002-1043-8773
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0003-2185-8973
2005 (English)In: Advances in Neural Networks – ISNN 2005 Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I / [ed] Jun Wang, Xiaofeng Liao and Zhang Yi, Berlin: Springer Berlin/Heidelberg, 2005, p. 461-466Conference paper, Published paper (Refereed)
Abstract [en]

A SOM based model combination strategy, allowing to create adaptive – data dependent – committees, is proposed. Both, models included into a committee and aggregation weights are specific for each input data point analyzed. The possibility to detect outliers is one more characteristic feature of the strategy.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2005. p. 461-466
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; Volume 3496/2005
Keywords [en]
Artificial intelligence, AI, Modeling, Adaptive method, Outlier, Model-based reasoning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-1067DOI: 10.1007/11427391_73ISI: 000230166900073Scopus ID: 2-s2.0-24944493745Local ID: 2082/1437ISBN: 978-3-540-25912-1 OAI: oai:DiVA.org:hh-1067DiVA, id: diva2:238285
Conference
Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005
Available from: 2007-12-28 Created: 2007-12-28 Last updated: 2018-01-13Bibliographically approved

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FULLTEXT01(541 kB)258 downloads
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Englund, CristoferVerikas, Antanas

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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