Machine Learning Predictors of Extreme Events Occurring in Complex Dynamical Systems
The ability to characterize and predict extreme events is a vital topic in fields ranging from finance to ocean engineering. Typically, the most-extreme events are also the most-rare, and it is this property that makes data collection and direct simulation challenging. We consider the problem of der...
Autori principali: | Guth, Stephen Carrol, Sapsis, Themistoklis Panagiotis |
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Altri autori: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Natura: | Articolo |
Lingua: | English |
Pubblicazione: |
MDPI AG
2020
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Accesso online: | https://hdl.handle.net/1721.1/125399 |
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