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4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.

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Title: 4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
Authors: Boccato, Tommaso1, tommaso.boccato@uniroma2.it, Ferrante, Matteo1, Duggento, Andrea1, Toschi, Nicola1,2
Source: Neurocomputing; Feb2024, Vol. 568, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174318305
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: 4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Feb2024, Vol. 568, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174318305
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2023.127058
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: 4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs.
        Type: main
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      – PersonEntity:
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            NameFull: Boccato, Tommaso
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            NameFull: Ferrante, Matteo
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            NameFull: Duggento, Andrea
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            NameFull: Toschi, Nicola
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          Dates:
            – D: 01
              M: 02
              Text: Feb2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 09252312
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            – Type: volume
              Value: 568
          Titles:
            – TitleFull: Neurocomputing
              Type: main
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