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https://doi.org/10.21256/zhaw-20248| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Abstract) |
| Titel: | Examining redundancy in the context of safe machine learning |
| Autor/-in: | Doran, Hans Dermot Reif, Monika Ulrike |
| et. al: | No |
| DOI: | 10.21256/zhaw-20248 |
| Tagungsband: | Proceedings of the Forum for Safety & Security 2020 |
| Angaben zur Konferenz: | Forum Safety & Security, online, 23-24 June 2020 |
| Erscheinungsdatum: | 23-Jun-2020 |
| Verlag / Hrsg. Institution: | WEKA |
| Sprache: | Englisch |
| Schlagwörter: | Functional safety; Dependability; Redundancy; Machine learning |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | This paper describes a set of experiments with neural network classifiers on the MNIST database of digits. The purpose is to investigate naïve implementations of redundant architectures as a first step towards safe and dependable machine learning. We report on a set of measurements using the MNIST database which ultimately serve to underline the expected difficulties in using NN classifiers in safe and dependable systems. |
| URI: | https://arxiv.org/abs/2007.01900 https://digitalcollection.zhaw.ch/handle/11475/20248 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) Institute of Embedded Systems (InES) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2020_Doran-Reif_Redundancy-Machine-Learning_FSS20-Paper.pdf | 445.39 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Doran, H. D., & Reif, M. U. (2020, June 23). Examining redundancy in the context of safe machine learning. Proceedings of the Forum for Safety & Security 2020. https://doi.org/10.21256/zhaw-20248
Doran, H.D. and Reif, M.U. (2020) ‘Examining redundancy in the context of safe machine learning’, in Proceedings of the Forum for Safety & Security 2020. WEKA. Available at: https://doi.org/10.21256/zhaw-20248.
H. D. Doran and M. U. Reif, “Examining redundancy in the context of safe machine learning,” in Proceedings of the Forum for Safety & Security 2020, Jun. 2020. doi: 10.21256/zhaw-20248.
DORAN, Hans Dermot und Monika Ulrike REIF, 2020. Examining redundancy in the context of safe machine learning. In: Proceedings of the Forum for Safety & Security 2020 [online]. Conference paper. WEKA. 23 Juni 2020. Verfügbar unter: https://arxiv.org/abs/2007.01900
Doran, Hans Dermot, and Monika Ulrike Reif. 2020. “Examining Redundancy in the Context of Safe Machine Learning.” Conference paper. In Proceedings of the Forum for Safety & Security 2020. WEKA. https://doi.org/10.21256/zhaw-20248.
Doran, Hans Dermot, and Monika Ulrike Reif. “Examining Redundancy in the Context of Safe Machine Learning.” Proceedings of the Forum for Safety & Security 2020, WEKA, 2020, https://doi.org/10.21256/zhaw-20248.
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