Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals

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

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Conference Paper | Accepted | English
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NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments
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Long Beach
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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. Accepted.
Göpfert, C., Göpfert, J. P., & Hammer, B. (Accepted). 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, C., Göpfert, J. P., and Hammer, B. (Accepted). “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., Accepted. 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, Accepted.
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. (Accepted).
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. Accepted.
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