Inverse Problems in Geodynamics Using Machine Learning Algorithms
Author:
Affiliation:
1. Department of Earth Sciences; University of Toronto; Toronto Ontario Canada
2. Department of Earth Sciences and Minnesota Supercomputing Institute; University of Minnesota, Twin Cities; Minneapolis MN USA
Funder
National Sleep Foundation
NSERC Discovery Grant
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017JB014846/fullpdf
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4. Galaxy zoo: Reproducing galaxy morphologies via machine learning;Banerji;Monthly Notices of the Royal Astronomical Society,2010
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