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Improving rule-based classifiers by Bayes point aggregation.

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Bibliographic Details
Title: Improving rule-based classifiers by Bayes point aggregation.
Authors: Bergamin, Luca1, bergamin@math.unipd.it, Polato, Mirko2, Aiolli, Fabio1
Source: Neurocomputing; Jan2025, Vol. 613, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181059983
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Improving rule-based classifiers by Bayes point aggregation.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Jan2025, Vol. 613, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181059983
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2024.128699
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Improving rule-based classifiers by Bayes point aggregation.
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            NameFull: Bergamin, Luca
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            NameFull: Polato, Mirko
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            NameFull: Aiolli, Fabio
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            – D: 14
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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              Value: 613
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