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Pruning and Exclusion Criteria for Unordered Incremental Reduced Error Pruning
KTH, Superseded Departments (pre-2005), Computer and Systems Sciences, DSV. Stockholms universitet, Institutionen för data- och systemvetenskap.
2004 (English)In: Proceedings of the Workshop on Advances in Rule Learning at 15th European Conference on Machine Learning, 2004Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2004.
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Computer and Information Sciences
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URN: urn:nbn:se:kth:diva-221461OAI: oai:DiVA.org:kth-221461DiVA, id: diva2:1175341
Conference
Workshop on Advances in Rule Learning at 15th European Conference on Machine Learning
Note

QC 20180122

Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-01-22Bibliographically approved

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fulltext(179 kB)7 downloads
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File name FULLTEXT01.pdfFile size 179 kBChecksum SHA-512
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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Output format
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