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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Bibliographic Details
Main Author: Sander, Jennifer
Format: eBook
Published: Karlsruhe KIT Scientific Publishing 2021
Series:Karlsruher Schriften zur Anthropomatik
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), by-sa/4.0, http://creativecommons.org/licenses/by-sa/4.0
Physical Description:1 electronic resource (342 p.)
ISBN:1000125447
9783731510628