XAI for unsupervised learning
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| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Technische Universität Berlin
2024
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| Online-Zugang: | kostenfrei kostenfrei kostenfrei https://d-nb.info/1346552207/34 |
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Datensatz im Suchindex
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| adam_text | |
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| author | Kauffmann, Jacob |
| author_facet | Kauffmann, Jacob |
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| spelling | Kauffmann, Jacob Verfasser aut XAI for unsupervised learning vorgelegt von Jacob Kauffmann, M.Sc. XAI für unüberwachtes Lernen Berlin Technische Universität Berlin 2024 1 Online-Ressource (vi, 128 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität Berlin 2023 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 3\p Neuronales Netz (DE-588)4226127-2 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Unüberwachtes Lernen (DE-588)4580265-8 gnd 6\p Data Mining (DE-588)4428654-5 gnd 7\p Cluster-Analyse (DE-588)4070044-6 gnd (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Druck-Ausgabe (DE-604)BV050036034 https://doi.org/10.14279/depositonce-21056 Resolving-System kostenfrei Volltext https://hdl.handle.net/11303/22255 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2410300058019.738253987597 Resolving-System kostenfrei Volltext https://d-nb.info/1346552207/34 Langzeitarchivierung Nationalbibliothek 1\p emakn 0,90072 20241030 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,54174 20241030 DE-101 https://d-nb.info/provenance/plan#emasg 3\p emagnd 0,44768 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd 4\p emagnd 0,36571 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,20268 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,10042 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd 7\p emagnd 0,07004 20241030 DE-101 https://d-nb.info/provenance/plan#emagnd |
| spellingShingle | Kauffmann, Jacob XAI for unsupervised learning 3\p Neuronales Netz (DE-588)4226127-2 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Unüberwachtes Lernen (DE-588)4580265-8 gnd 6\p Data Mining (DE-588)4428654-5 gnd 7\p Cluster-Analyse (DE-588)4070044-6 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4580265-8 (DE-588)4428654-5 (DE-588)4070044-6 (DE-588)4113937-9 |
| title | XAI for unsupervised learning |
| title_alt | XAI für unüberwachtes Lernen |
| title_auth | XAI for unsupervised learning |
| title_exact_search | XAI for unsupervised learning |
| title_full | XAI for unsupervised learning vorgelegt von Jacob Kauffmann, M.Sc. |
| title_fullStr | XAI for unsupervised learning vorgelegt von Jacob Kauffmann, M.Sc. |
| title_full_unstemmed | XAI for unsupervised learning vorgelegt von Jacob Kauffmann, M.Sc. |
| title_short | XAI for unsupervised learning |
| title_sort | xai for unsupervised learning |
| topic | 3\p Neuronales Netz (DE-588)4226127-2 gnd 4\p Maschinelles Lernen (DE-588)4193754-5 gnd 5\p Unüberwachtes Lernen (DE-588)4580265-8 gnd 6\p Data Mining (DE-588)4428654-5 gnd 7\p Cluster-Analyse (DE-588)4070044-6 gnd |
| topic_facet | Neuronales Netz Maschinelles Lernen Unüberwachtes Lernen Data Mining Cluster-Analyse Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-21056 https://hdl.handle.net/11303/22255 https://nbn-resolving.org/urn:nbn:de:101:1-2410300058019.738253987597 https://d-nb.info/1346552207/34 |
| work_keys_str_mv | AT kauffmannjacob xaiforunsupervisedlearning AT kauffmannjacob xaifurunuberwachteslernen |