Explore
Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen
Jennifer Sander
2021
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 55 times via unglue.it ebook links.
- 55 - pdf (CC BY-SA) at OAPEN Library.
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
- uncertainty
- Unsicherheit
Links
DOI: 10.5445/KSP/1000125447Editions