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Description
  • In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work.
  • In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work. (en)
Title
  • Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data
  • Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data (en)
skos:prefLabel
  • Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data
  • Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data (en)
skos:notation
  • RIV/67985556:_____/10:00352234!RIV11-MSM-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), P(GA102/08/0567), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 291097
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/10:00352234
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Bayesian decision making; Supra-Bayesian approach; sharing of probabilistic information (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [477C74A2CC91]
http://linked.open...v/mistoKonaniAkce
  • Whistler, B.C. Canada
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • Decision Making with Multiple Imperfect Decision Makers
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sečkárová, Vladimíra
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute of Information Theory and Automation Academy of Sciences of the Czech Republic
https://schema.org/isbn
  • 978-80-903834-5-6
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