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learning

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augmentation strategy

augmentation strategy An augmentation strategy is a way of improving a predictive model by adding extra derived information to the original data.

An augmentation strategy is a way of improving a predictive model by adding extra derived information to the original data. In this source, it means using features produced by a discrete wavelet transform alongside the time-series data to help deep learning models make forecasts.