- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783941543263
- Dimensions
-
24 cm
- Extent
-
xv, 184 Seiten
- Language
-
Englisch
- Notes
-
Illustrationen
Universität Ulm, Dissertation, 2016
- Bibliographic citation
-
Schriftenreihe des Instituts für Mess-, Regel- und Mikrotechnik / Universität Ulm ; Band 19
- Keyword
-
Autonomes Fahrzeug
Wahrscheinlichkeit
Gauß-Prozess
Bayes-Inferenz
Bayes-Lernen
Dichte
Trajektorie
Gehirn
Zentralnervensystem
- Event
-
Veröffentlichung
- (where)
-
Ulm
- (who)
-
Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik
- (when)
-
2016
- Creator
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:50 PM 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.
Object type
- Hochschulschrift
Associated
- Wiest, Jürgen
- Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik
Time of origin
- 2016
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Long-term ENSO prediction with echo-state networks
Synthetic speech detection through short-term and long-term prediction traces
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PREDICTION OF LONG-TERM SENTINEL-1 INSAR TIME SERIES ANALYSIS
Statistical long-term motion prediction
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Probabilistic long-term prediction for autonomous vehicles
Contribution to the long term prediction of motion trajectories
Long-term prediction intervals of economic time series
Long-term ENSO prediction with echo-state networks
Synthetic speech detection through short-term and long-term prediction traces
Lumbo-sacral motion conserved after isthmic reconstruction: long-term results
Long-Term Yield Prediction of Greenhouse Sweet Pepper Crops
Long-term future prediction under uncertainty and multi-modality
A statistical profiling model of long-term unemployment risk in Ireland