Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen
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...
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| Main Author: | |
|---|---|
| Format: | Electronic Book Chapter |
| Published: |
Karlsruhe
KIT Scientific Publishing
2021
|
| Series: | Karlsruher Schriften zur Anthropomatik
45 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 100 | 1 | |a Sander, Jennifer |4 auth | |
| 245 | 1 | 0 | |a Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen |
| 260 | |a Karlsruhe |b KIT Scientific Publishing |c 2021 | ||
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| 490 | 1 | |a Karlsruher Schriften zur Anthropomatik |v 45 | |
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| 520 | |a 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. | ||
| 540 | |a Creative Commons |f by-sa/4.0 |2 cc |4 http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a German | ||
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| 653 | |a Informationsfusion | ||
| 653 | |a heterogene Informationsquellen | ||
| 653 | |a Bayes'sche Theorie | ||
| 653 | |a Prinzip der Maximalen Entropie | ||
| 653 | |a Unsicherheit | ||
| 653 | |a information fusion | ||
| 653 | |a heterogeneous information sources | ||
| 653 | |a Bayesian theory | ||
| 653 | |a Maximum Entropy principle | ||
| 653 | |a uncertainty | ||
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