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Supervised machine learning approaches to faciliate seismological data intensive applications

Authors
/persons/resource/rizac

Zaccarelli,  Riccardo
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/bindi

Bindi,  Dino
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/fcotton

Cotton,  Fabrice
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/strollo

Strollo,  A.
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Zaccarelli, R., Bindi, D., Cotton, F., Strollo, A. (2016): Supervised machine learning approaches to faciliate seismological data intensive applications - Tagungsband, 77. Jahrestagung der Deutschen Geophysikalischen Gesellschaft e. V. (Potsdam 2017).


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_2171908
Abstract
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