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In machine learning forecasting, standard error metrics such as mean absolute error (MAE) and mean squared error (MSE) quantify discrepancies between predictions and target values.
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Another look at measures of forecast accuracy
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Semi-supervised classification with graph convolutional networks
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Dynamical proxies of north atlantic predictability and extremes
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Nonlinear dynamics and chaos: With applications to physics, biology, chemistry, and engineering (CRC Press, 2018)
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Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach
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Lin, S., Mengaldo, G. & Maulik, R · 2023
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Bodnar, C. et al · 2024
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Orbit: Oak ridge base foundation model for earth system predictability 1–11 (2024)
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Watt-Meyer, O. et al · 2024
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