Technical Report: Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance measures that reveal insights on errors
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| Document Type: | Report |
|---|---|
| Author: | Holger ZiekowGND, Ulf SchreierGND, Alexander GerlingORCiD, Alaa Saleh |
| URN: | https://urn:nbn:de:bsz:fn1-opus4-55331 |
| Language: | English |
| Year of Completion: | 2019 |
| Release Date: | 2019/07/29 |
| Page Number: | 12 |
| Open-Access-Status: | Open Access |
| Licence (German): |  Urheberrechtlich geschützt |