Interpretable Feature Recommendation for Signal Analytics

Abstract

This paper presents an automated approach for interpretable feature recommendation for solving signal data analytics problems. Themethodhas been tested by performing experiments on datasets in the domain of prognostics where interpretation of features is considered very important. The proposed approach is based on Wide Learning architecture and provides… (More)

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