NDLI: A machine learning approach to geochemical mapping

Content Provider	Scilit
Author	Kirkwood, Charlie Cave, Mark Beamish, David Grebby, Stephen Ferreira, Antonio
Copyright Year	2016
Description	Journal: Journal of Geochemical Exploration
Related Links	http://eprints.nottingham.ac.uk/33879/1/Kirkwood_et_al_2016.pdf https://core.ac.uk/download/pdf/42492469.pdf
Ending Page	61
Page Count	13
Starting Page	49
ISSN	03756742
DOI	10.1016/j.gexplo.2016.05.003
Journal	Journal of Geochemical Exploration
Volume Number	167
Language	English
Publisher	Elsevier BV
Publisher Date	2016-08-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Geochemical Exploration Imaging Science Geochemical Maps Regression Forests Quantile Regression High Resolution
Content Type	Text
Resource Type	Article
Subject	Geochemistry and Petrology Economic Geology

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Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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A machine learning approach to geochemical mapping