01981nam 2200445z- 450 991047689920332120231214141128.01000125447(CKB)5470000000567031(oapen)https://directory.doabooks.org/handle/20.500.12854/70092(EXLCZ)99547000000056703120202105d2021 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierAnsätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener QuellenKarlsruheKIT Scientific Publishing20211 electronic resource (342 p.)Karlsruher Schriften zur Anthropomatik3-7315-1062-6 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.Maths for computer scientistsbicsscInformationsfusionheterogene InformationsquellenBayes’sche TheoriePrinzip der Maximalen EntropieUnsicherheitinformation fusionheterogeneous information sourcesBayesian theoryMaximum Entropy principleuncertaintyMaths for computer scientistsSander Jenniferauth1300211BOOK9910476899203321Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen3025439UNINA