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| |  Online-Ressource |
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| Verfasst von: | Scheerer, Max [VerfasserIn]  |
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| Titel: | Evaluating Architectural Safeguards for Uncertain AI Black-Box Components |
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| Verlagsort: | [Erscheinungsort nicht ermittelbar] |
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| Verlag: | KIT Scientific Publishing |
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| Jahr: | 2023 |
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| Umfang: | 1 Online-Ressource (472 p.) |
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| Gesamttitel/Reihe: | The Karlsruhe Series on Software Design and Quality |
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| Schrift/Sprache: | English |
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| Abstract: | Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability |
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| URL: | kostenfrei: Verlag: https://directory.doabooks.org/handle/20.500.12854/122080 |
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| | 20.500.12854/122080 |
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| Datenträger: | Online-Ressource |
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| Sprache: | und |
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| Sach-SW: | Mathematics & science |
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| K10plus-PPN: | 1877772968 |
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| Lokale URL UB: |  Zum Volltext |
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Evaluating Architectural Safeguards for Uncertain AI Black-Box Components / Scheerer, Max [VerfasserIn]; 2023 (Online-Ressource)
69173330
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