Consistency, Robustness and Sparsity for Learning Algorithms:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2024
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Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
DOI: | 10.25593/open-fau-522 |
Internformat
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spelling | Roith, Tim (DE-588)1326220640 aut Consistency, Robustness and Sparsity for Learning Algorithms vorgelegt von Tim Roith Konsistenz, Robustheit und Dünnbesetztheit von Lernalgorithmen Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Teilüberwachtes Lernen (DE-588)4782452-9 gnd rswk-swf Machine Learning Consistency Sparsity Robustness (DE-588)4113937-9 Hochschulschrift gnd-content Teilüberwachtes Lernen (DE-588)4782452-9 s DE-604 https://open.fau.de/handle/openfau/30802 Verlag kostenfrei Volltext https://doi.org/10.25593/open-fau-522 Resolving-System kostenfrei Volltext https://d-nb.info/1325922129/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,22485 20240413 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,40553 20240413 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20240412 DE-101 https://d-nb.info/provenance/plan#npi |
spellingShingle | Roith, Tim Consistency, Robustness and Sparsity for Learning Algorithms Teilüberwachtes Lernen (DE-588)4782452-9 gnd |
subject_GND | (DE-588)4782452-9 (DE-588)4113937-9 |
title | Consistency, Robustness and Sparsity for Learning Algorithms |
title_alt | Konsistenz, Robustheit und Dünnbesetztheit von Lernalgorithmen |
title_auth | Consistency, Robustness and Sparsity for Learning Algorithms |
title_exact_search | Consistency, Robustness and Sparsity for Learning Algorithms |
title_exact_search_txtP | Consistency, Robustness and Sparsity for Learning Algorithms |
title_full | Consistency, Robustness and Sparsity for Learning Algorithms vorgelegt von Tim Roith |
title_fullStr | Consistency, Robustness and Sparsity for Learning Algorithms vorgelegt von Tim Roith |
title_full_unstemmed | Consistency, Robustness and Sparsity for Learning Algorithms vorgelegt von Tim Roith |
title_short | Consistency, Robustness and Sparsity for Learning Algorithms |
title_sort | consistency robustness and sparsity for learning algorithms |
topic | Teilüberwachtes Lernen (DE-588)4782452-9 gnd |
topic_facet | Teilüberwachtes Lernen Hochschulschrift |
url | https://open.fau.de/handle/openfau/30802 https://doi.org/10.25593/open-fau-522 https://d-nb.info/1325922129/34 |
work_keys_str_mv | AT roithtim consistencyrobustnessandsparsityforlearningalgorithms AT roithtim konsistenzrobustheitunddunnbesetztheitvonlernalgorithmen |