Article (2022)
An external link is available for this item| Department: | Department of Civil, Geological and Mining Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/49234/ |
| Journal Title: | Mathematical Geosciences (vol. 54, no. 2) |
| Publisher: | Springer-Verlag |
| DOI: | 10.1007/s11004-021-09971-9 |
| Official URL: | https://doi.org/10.1007/s11004-021-09971-9 |
| Date Deposited: | 18 Apr 2023 14:59 |
| Last Modified: | 08 Apr 2025 07:16 |
| Cite in APA 7: | Mery, N., & Marcotte, D. (2022). Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods. Mathematical Geosciences, 54(2), 363-387. https://doi.org/10.1007/s11004-021-09971-9 |
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