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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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Bibliografiske detaljer
Udgivet i:Proc Natl Acad Sci U S A
Main Authors: 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: Artigo
Sprog:Inglês
Udgivet: National Academy of Sciences 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7865129/
https://ncbi.nlm.nih.gov/pubmed/33495346
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2011362118
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