Application of machine learning algorithms to mineral prospectivity mapping
In the modern era of diminishing returns on fixed exploration budgets, challenging targets, and ever-increasing numbers of multi-parameter datasets, proper management and integration of available data is a crucial component of any mineral exploration program. Machine learning algorithms have success...
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| Language: | English |
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University of British Columbia
2016
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| Online Access: | http://hdl.handle.net/2429/59988 |