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Bayesian Deep Neural Networks with Agnostophilic Approaches.

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Bibliographic Details
Title: Bayesian Deep Neural Networks with Agnostophilic Approaches.
Authors: McDougall, Sarah1, Rauchas, Sarah1,2, Rafe, Vahid1,2, vahid.rafe@city.ac.uk
Source: Big Data & Cognitive Computing; Apr2025, Vol. 9 Issue 4, p95, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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    Identifiers:
      – Type: doi
        Value: 10.3390/bdcc9040095
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 95
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      – TitleFull: Bayesian Deep Neural Networks with Agnostophilic Approaches.
        Type: main
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            NameFull: McDougall, Sarah
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            NameFull: Rauchas, Sarah
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            NameFull: Rafe, Vahid
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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            – TitleFull: Big Data & Cognitive Computing
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