TY  - GEN
AU  - Sander,Jennifer
TI  - Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen
SN  - KSP/1000125447
PY  - 2021///
CY  - Karlsruhe
PB  - KIT Scientific Publishing
KW  - Maths for computer scientists
KW  - bicssc
KW  - Informationsfusion
KW  - heterogene Informationsquellen
KW  - Bayes’sche Theorie
KW  - Prinzip der Maximalen Entropie
KW  - Unsicherheit
KW  - information fusion
KW  - heterogeneous information sources
KW  - Bayesian theory
KW  - Maximum Entropy principle
KW  - uncertainty
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/20.500.12657/48837/1/ansatze-zur-lokalen-bayesschen-fusion-von-informationsbeitragen-heterogener-quellen.pdf
UR  - https://directory.doabooks.org/handle/20.500.12854/70092
ER  -