Interpretation of Linear Classifiers by Means of Feature Relevance Bounds

Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B (Accepted)
Neurocomputing.

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Journal Article | Accepted | English
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Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B. Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing. Accepted.
Göpfert, C., Pfannschmidt, L., Göpfert, J. P., & Hammer, B. (Accepted). Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing
Göpfert, C., Pfannschmidt, L., Göpfert, J. P., and Hammer, B. (Accepted). Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing.
Göpfert, C., et al., Accepted. Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing.
C. Göpfert, et al., “Interpretation of Linear Classifiers by Means of Feature Relevance Bounds”, Neurocomputing, Accepted.
Göpfert, C., Pfannschmidt, L., Göpfert, J.P., Hammer, B.: Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing. (Accepted).
Göpfert, Christina, Pfannschmidt, Lukas, Göpfert, Jan Philip, and Hammer, Barbara. “Interpretation of Linear Classifiers by Means of Feature Relevance Bounds”. Neurocomputing (Accepted).
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