- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: KACPRZYK, Janusz, Hrsg., Witold PEDRYCZ, Hrsg.. Springer Handbook of Computational Intelligence. Berlin: Springer, 2015, S. 1423-1432. Springer Handbooks. ISBN 978-3-662-43504-5. Verfügbar unter: doi: 10.1007/978-3-662-43505-2_74
- Ereignis
-
Veröffentlichung
- (wo)
-
Konstanz
- (wer)
-
KOPS Universität Konstanz
- (wann)
-
2015
- Urheber
- URN
-
urn:nbn:de:bsz:352-2-1i576n1aewpav7
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:54 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Correll, Nikolaus
- Hamann, Heiko
- KOPS Universität Konstanz
Entstanden
- 2015
Ähnliche Objekte (12)
Modeling and formal verification of probabilistic reconfigurable systems
Probabilistic protein homology modeling
Probabilistic protein homology modeling
Family-Based Modeling and Analysis for Probabilistic Systems
Physics-Informed and Data-Driven Probabilistic Modeling of Materials Systems
Advances in probabilistic modeling of natural images
An introduction to probabilistic modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic modeling of noise transfer characteristics in digital circuits
Reactive probabilistic belief modeling for mobile robots
Learning and modeling with probabilistic conditional logic
Modeling and formal verification of probabilistic reconfigurable systems
Probabilistic protein homology modeling
Probabilistic protein homology modeling
Family-Based Modeling and Analysis for Probabilistic Systems
Physics-Informed and Data-Driven Probabilistic Modeling of Materials Systems
Advances in probabilistic modeling of natural images
An introduction to probabilistic modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic modeling of noise transfer characteristics in digital circuits
Reactive probabilistic belief modeling for mobile robots
Learning and modeling with probabilistic conditional logic
Modeling and formal verification of probabilistic reconfigurable systems
Probabilistic protein homology modeling
Probabilistic protein homology modeling
Family-Based Modeling and Analysis for Probabilistic Systems
Physics-Informed and Data-Driven Probabilistic Modeling of Materials Systems
Advances in probabilistic modeling of natural images
An introduction to probabilistic modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic Parametric Curves for Sequence Modeling
Probabilistic modeling of noise transfer characteristics in digital circuits
Reactive probabilistic belief modeling for mobile robots