- Alternative title
-
Bayesianische neuronale Netze für probabilistisches maschinelles Lernen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Heidelberg, Universität Heidelberg, Dissertation, 2021
- Keyword
-
Machine learning
Machinelles Lernen
- Event
-
Veröffentlichung
- (where)
-
Heidelberg
- (who)
-
Universitätsbibliothek Heidelberg
- (when)
-
2021
- Creator
- Contributor
- DOI
-
10.11588/heidok.00030364
- URN
-
urn:nbn:de:bsz:16-heidok-303645
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 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
- Haußmann, Manuel
- Hamprecht, Fred
- Universitätsbibliothek Heidelberg
Time of origin
- 2021
Other Objects (12)
Bayesian learning for neural networks
Implementing Bayesian Inference with Neural Networks
Probabilistic Networks and Expert Systems : Exact computational methods for Bayesian networks
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks
Approximate Bayesian neural networks in genomic prediction
Discovering uncertainty: Bayesian constitutive artificial neural networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian Networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian networks
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Bayesian learning for neural networks: an algorithmic survey
Approximate blocked Gibbs sampling for Bayesian neural networks
Widened Machine Learning with Application to Bayesian Networks
Bayesian learning for neural networks
Implementing Bayesian Inference with Neural Networks
Probabilistic Networks and Expert Systems : Exact computational methods for Bayesian networks
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks
Approximate Bayesian neural networks in genomic prediction
Discovering uncertainty: Bayesian constitutive artificial neural networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian Networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian networks
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Bayesian learning for neural networks: an algorithmic survey
Approximate blocked Gibbs sampling for Bayesian neural networks
Widened Machine Learning with Application to Bayesian Networks
Bayesian learning for neural networks
Implementing Bayesian Inference with Neural Networks
Probabilistic Networks and Expert Systems : Exact computational methods for Bayesian networks
Post-stack seismic inversion through probabilistic neural networks and deep forward neural networks
Approximate Bayesian neural networks in genomic prediction
Discovering uncertainty: Bayesian constitutive artificial neural networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian Networks
Probabilistic characterisation of coastal storm-induced risks using Bayesian networks
Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks
Bayesian learning for neural networks: an algorithmic survey
Approximate blocked Gibbs sampling for Bayesian neural networks