Noise Detection for Ensemble Methods

In this paper we present a novel noisy signal identification method applied in ensemble methods for destructive components classification. Typically two main signal properties like variability and predictability are described by the same second order statistic characteristic. In our approach we postulate to separate measure of the signal internal dependencies and their variability. The validity of the approach is confirmed by the experiment with energy load data.

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