Laboratory earthquake forecasting: A machine learning competition

Earthquake prediction, the long-sought holy grail of earthquake science, continues to confound Earth scientists. Could we make advances by crowdsourcing, drawing from the vast knowledge and creativity of the machine learning (ML) community? We used Google’s ML competition platform, Kaggle, to engage...

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Veröffentlicht in:	Proceedings of the National Academy of Sciences - PNAS 2021-02, Vol.118 (5), p.1-10
Hauptverfasser:	Johnson, Paul A., Rouet-Leduc, Bertrand, Pyrak-Nolte, Laura J., Beroza, Gregory C., Marone, Chris J., Hulbert, Claudia, Howard, Addison, Singer, Philipp, Gordeev, Dmitry, Karaflos, Dimosthenis, Levinson, Corey J., Pfeiffer, Pascal, Puk, Kin Ming, Reade, Walter
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence Earth Sciences earthquake prediction forecasting GEOSCIENCES laboratory earthquakes machine learning machine learning competition PERSPECTIVE Physical Sciences physics of faulting Seismicity
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