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Please use this identifier to cite or link to this item: http://edoc.bseu.by:8080/handle/edoc/84999
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dc.contributor.authorLipnickas, A.-
dc.date.accessioned2020-11-09T14:04:59Z-
dc.date.available2020-11-09T14:04:59Z-
dc.date.issued2001-
dc.identifier.citationLipnickas, A. Classifiers fusion with data dependent aggregation schemes / Lipnickas, A. // Информационные сети, системы и технологии = Information Networks, Systems and Technologies : в 3 кн. Кн.1 : Труды международной конференции ICINASTe'2001, Минск, 2-4 октября 2001 г. : на англ. яз. / Ред.: А.Н. Морозевич [и др.]. - Мн. : БГЭУ, 2001. - С. 147-153.ru_RU
dc.identifier.isbn985-426-692-3-
dc.identifier.urihttp://edoc.bseu.by:8080/handle/edoc/84999-
dc.description.abstractIn this paper we studied two different classifiers fusion algorithms exploiting the combination weights expressed over the entire data space and the combination with data dependent weights. The following aggregation schemes are employed in the study: the majority vote, the averaging, the combination via Choquet integral with the X fuzzy measure, the combination via space partitioning and classifier selection approach, and the combination via Choquet integral with the data dependent X - fuzzy measure.ru_RU
dc.languageАнглийский-
dc.language.isoenru_RU
dc.publisherБелорусский государственный экономический университетru_RU
dc.subjectнейронные сетиru_RU
dc.subjectклассификация данныхru_RU
dc.subjectбазы данныхru_RU
dc.subjectneural networksru_RU
dc.subjectdata classificationru_RU
dc.subjectdatabasesru_RU
dc.titleClassifiers fusion with data dependent aggregation schemesru_RU
dc.typeArticleru_RU
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