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  A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence
 
 
Title: A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence
Author: Yeomans, Christopher M.
Shail, Robin K.
Grebby, Stephen
Nykänen, Vesa
Middleton, Maarit
Lusty, Paul A.J.
Appeared in: Geoscience frontiers
Paging: Volume 11 () nr. 6 pages 2067-2081
Year: 2020
Contents:
Publisher: China University of Geosciences (Beijing) and Peking University
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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