Ansätze zur lokalen Bayes'schen Fusion von Informationsbeiträgen heterogener Quellen
- Author:
- Sander, Jennifer
- Published:
- Karlsruhe KIT Scientific Publishing 2021
- Physical Description:
- 1 electronic resource (342 p.)
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- library.oapen.org , Open Access: OAPEN Library, download the publication
- library.oapen.org , Open Access: OAPEN Library: description of the publication
- Series:
- Language Note:
- German
- Restrictions on Access:
- Open Access Unrestricted online access
- Summary:
- 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.
- Subject(s):
- Other Subject(s):
- ISBN:
- 9783731510628
KSP/1000125447 - Collection:
- OAPEN Library.
- Terms of Use and Reproduction:
- Creative Commons http://creativecommons.org/licenses/by-sa/4.0
View MARC record | catkey: 34149789