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Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability.

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Title: Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability.
Authors: Ravichandran, Jensun1, jjohnrav@hs-mittweida.de, Kaden, Marika1, kaden1@hs-mittweida.de, Saralajew, Sascha2, sascha.saralajew@porsche.de, Villmann, Thomas1, villmann@hs-mittweida.de
Source: Neurocomputing; Aug2020, Vol. 403, p121-132, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 143799857
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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        Value: 10.1016/j.neucom.2019.12.131
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      – Code: eng
        Text: English
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      – TitleFull: Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability.
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            NameFull: Kaden, Marika
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            NameFull: Saralajew, Sascha
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              Text: Aug2020
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