DATA AS DEMONSTRATOR with Applications to System Identification

Abstract

Machine learning techniques for system identification and time series modeling often phrase the problem as the optimization of a loss function over a single timestep prediction. However, in many applications, the learned model is recursively applied in order to make a multiple-step prediction, resulting in compounding prediction errors. We present DATA AS… (More)

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Citation Velocity: 6

Averaging 6 citations per year over the last 2 years.

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