- Alternative title
-
Variational Bayes für kontinuierliches Lernen und Zeitreihenvorhersage
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Dissertation, 2023
- Keyword
-
Maschinelles Lernen
Bayes-Verfahren
Neuronales Netz
Stochastisches Modell
Datenanalyse
Bayes-Netz
Bayes-Inferenz
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2023
- Creator
-
Kurle, Richard
- Contributor
-
Günnemann, Stephan
Groh, Georg
- URN
-
urn:nbn:de:bvb:91-diss-20230313-1685412-1-5
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 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
- Kurle, Richard
- Günnemann, Stephan
- Groh, Georg
- Universitätsbibliothek der TU München
Time of origin
- 2023
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Bernstein flows for flexible posteriors in variational Bayes
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Experimental evaluation of baselines for forecasting social media timeseries
Variational bayes via propositionalization : (extended abstract)
The variational Bayes method in signal processing
α-Variational Bayes and its statistical properties
Synergizing habits and goals with variational Bayes
Time-series forecasting through recurrent topology
Bernstein flows for flexible posteriors in variational Bayes
Bernstein flows for flexible posteriors in variational Bayes
Leveraging the variational Bayes autoencoder for survival analysis
Variational data assimilation for operational flood forecasting
Approximation of zero-inflated poisson credibility premium via variational bayes approach
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