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Machine learning and earthquake forecasting-next steps
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DOI：10.1038/s41467-021-24952-6.png)
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Abstract
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A new generation of earthquake catalogs developed through supervised machine-learning illuminates earthquake activity with unprecedented detail. Application of unsupervised machine learning to analyze the more complete expression of seismicity in these catalogs may be the fastest route to improving earthquake forecasting.
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