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Helbert, Jörn and Amore, Mario (2020) Using "Machine Learning" to Make Sense of Very Big and Very Small Data Sets. Goldschmidt Conference, Hawaii, USA. doi: 10.46427/gold2020.1014.
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Official URL: https://goldschmidtabstracts.info/abstracts/abstractView?doi=10.46427/gold2020.1014
| Item URL in elib: | https://elib.dlr.de/138825/ | |||||||||
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| Document Type: | Conference or Workshop Item (Speech) | |||||||||
| Title: | Using "Machine Learning" to Make Sense of Very Big and Very Small Data Sets | |||||||||
| Authors: |
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| Date: | 2020 | |||||||||
| Refereed publication: | No | |||||||||
| Open Access: | Yes | |||||||||
| Gold Open Access: | No | |||||||||
| In SCOPUS: | No | |||||||||
| In ISI Web of Science: | No | |||||||||
| DOI : | 10.46427/gold2020.1014 | |||||||||
| Page Range: | p. 1014 | |||||||||
| Status: | Published | |||||||||
| Keywords: | Machine Learning, Datenprozessierung, Spektroskopie, Fernerkundung | |||||||||
| Event Title: | Goldschmidt Conference | |||||||||
| Event Location: | Hawaii, USA | |||||||||
| Event Type: | international Conference | |||||||||
| HGF - Research field: | Aeronautics, Space and Transport | |||||||||
| HGF - Program: | Space | |||||||||
| HGF - Program Themes: | Space Exploration | |||||||||
| DLR - Research area: | Raumfahrt | |||||||||
| DLR - Program: | R EW - Space Exploration | |||||||||
| DLR - Research theme (Project): | R - Project BepiColombo - MERTIS and BELA, R - Venus Emissivity Mapper | |||||||||
| Location: | Berlin-Adlershof | |||||||||
| Institutes and Institutions: | Institute of Planetary Research > Planetary Laboratories | |||||||||
| Deposited By: | Helbert, Dr.rer.nat. Jörn | |||||||||
| Deposited On: | 03 Dec 2020 11:03 | |||||||||
| Last Modified: | 03 Dec 2020 11:03 |
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