Deep Learning for Time Series
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Question 1 of 4
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N-BEATS (Oreshkin et al. 2020) is a deep forecasting model whose interpretable variant constrains some blocks to polynomial bases and others to Fourier bases. What classical time-series concept does this most directly recover?