Scalability in Ill-posed Machine Learning Problems: Bridging Least Squares Methods with (Non-)convex Algorithms
- Alternative title
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Skalierbarkeit schlecht konditionierter Machine-Learning-Probleme: der Verbindungen zwischen der Methode der kleinsten Quadrate und (nicht-)konvexen Algorithmen
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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München, Technische Universität München, Dissertation, 2023
- Keyword
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Datenanalyse
- Event
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Veröffentlichung
- (where)
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München
- (who)
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Universitätsbibliothek der TU München
- (when)
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2023
- Creator
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Mayrink Verdun, Claudio
- Contributor
- URN
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urn:nbn:de:bvb:91-diss-20231117-1712083-1-2
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mayrink Verdun, Claudio
- Krahmer, Felix
- Aldroubi, Akram
- Pfeffer, Max
- Universitätsbibliothek der TU München
Time of origin
- 2023
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