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Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen
Jennifer Sander
2021
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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.
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Keywords
- Bayesian theory
- Bayes’sche Theorie
- Computer science
- Computing & information technology
- heterogene Informationsquellen
- heterogeneous information sources
- information fusion
- Informationsfusion
- Mathematical theory of computation
- Maths for computer scientists
- maximum entropy principle
- Prinzip der Maximalen Entropie
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
- uncertainty
- Unsicherheit
Links
DOI: 10.5445/KSP/1000125447Editions