Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals

Göpfert, Christina; Göpfert, Jan Philip; Hammer, Barbara

Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals

Göpfert C, Göpfert JP, Hammer B (2017)
In: Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

Konferenzbeitrag | Veröffentlicht | Englisch

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nips_2017_goepfert_preprint.pdf 479.70 KB

URN

urn:nbn:de:0070-pub-29152742

Autor*in

Göpfert, Christina^UniBi ; Göpfert, Jan Philip^UniBi ; Hammer, Barbara^UniBi

Einrichtung

Technische Fakultät > AG Machine Learning
Center of Excellence - Cognitive Interaction Technology CITEC

Erscheinungsjahr

2017

Titel des Konferenzbandes

Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments

Konferenz

NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments

Konferenzort

Long Beach

Page URI

https://pub.uni-bielefeld.de/record/2915274

Zitieren

Göpfert C, Göpfert JP, Hammer B. Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. In: Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. 2017.

Göpfert, C., Göpfert, J. P., & Hammer, B. (2017). Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments

Göpfert, Christina, Göpfert, Jan Philip, and Hammer, Barbara. 2017. “Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals”. In Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

Göpfert, C., Göpfert, J. P., and Hammer, B. (2017). “Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals” in Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

Göpfert, C., Göpfert, J.P., & Hammer, B., 2017. Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. In Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

C. Göpfert, J.P. Göpfert, and B. Hammer, “Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals”, Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments, 2017.

Göpfert, C., Göpfert, J.P., Hammer, B.: Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. (2017).

Göpfert, Christina, Göpfert, Jan Philip, and Hammer, Barbara. “Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals”. Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. 2017.

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