Selective ensemble learning method for belief-rule-base classification system based on PAES
Selective ensemble learning method for belief-rule-base classification system based on PAES
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Publisher
Beijing: Tsinghua University Press
Journal title
Language
English
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Publisher
Beijing: Tsinghua University Press
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Contents
Traditional Belief-Rule-Based (BRB) ensemble learning methods integrate all of the trained sub-BRB systems to obtain better results than a single belief-rule-based system. However, as the number of BRB systems participating in ensemble learning increases, a large amount of redundant sub-BRB systems are generated because of the diminishing differenc...
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Full title
Selective ensemble learning method for belief-rule-base classification system based on PAES
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TN_cdi_doaj_primary_oai_doaj_org_article_e2ac88eafc6d4db9baf25b9240573648
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e2ac88eafc6d4db9baf25b9240573648
Other Identifiers
ISSN
2096-0654
E-ISSN
2097-406X
DOI
10.26599/BDMA.2019.9020008
