Output-weighted and relative entropy loss functions for deep learning precursors of extreme events
Many scientific and engineering problems require accurate models of dynamical systems with rare and extreme events. Such problems present a challenging task for data-driven modelling, with many naive machine learning methods failing to predict or accurately quantify such events. One cause for this d...
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Format: | Article |
Language: | English |
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Elsevier BV
2024
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Online Access: | https://hdl.handle.net/1721.1/154215 |