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Least Squares for Time Series Forecasting

Ciang, Weiu-qiou et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitiong-3i-2-6machine-learning
A time-series forecast is scored on a future value of the series. A representation loss that regresses the next latent, as in LeNEPA, is a different least-squares problem on the same bottleneck. We write both programs down. The forecast program minimizes the error of a decoded latent on the coordina
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