| Herrmann, Moritz (2022): Towards more reliable machine learning: conceptual insights and practical approaches for unsupervised manifold learning and supervised benchmark studies. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics |
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Herrmann_Moritz.pdf 27MB |
DOI: 10.5282/edoc.30789
| Item Type: | Theses (Dissertation, LMU Munich) |
|---|---|
| Subjects: | 300 Social sciences > 310 General statistics |
| Faculties: | Faculty of Mathematics, Computer Science and Statistics |
| Language: | English |
| Date of oral examination: | 28. October 2022 |
| 1. Referee: | Scheipl, Fabian |
| MD5 Checksum of the PDF-file: | 1a657adba37fd2c78a4a0c1d9b29a7b7 |
| Signature of the printed copy: | 0001/UMC 29187 |
| ID Code: | 30789 |
| Deposited On: | 18. Nov 2022 10:01 |
| Last Modified: | 18. Nov 2022 10:02 |
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