Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen
Dissertations in Series (Dissertationen in Schriftenreihe)
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The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically relevant tasks, Bayesian methods cause high, often unacceptable effort. In the work, novel approaches to cope with Bayesian fusion in such situations are formulated and investigated.
Keywords
Informationsfusion; heterogene Informationsquellen; Bayes’sche Theorie; Prinzip der Maximalen Entropie; Unsicherheit; information fusion; heterogeneous information sources; Bayesian theory; Maximum Entropy principle; uncertaintyDOI
10.5445/KSP/1000125447ISBN
9783731510628, 9783731510628Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
Karlsruhe, 2021Series
Karlsruher Schriften zur Anthropomatik, 45Classification
Maths for computer scientists
Maths for computer scientists