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Description
  • Bayesovské sítě se staly populární díky své schopnosti pracovat s nejistými informacemi. Byly vyvinuty účinné metody pro usuzování na základě nově získané evidence. Původním přínosem tohoto článku jsou pokyny pro zacházení s různými druhy nejisté evidence, pravidla pro skládání evidence z různých zdrojů a revize modelu při nejisté evidenci (cs)
  • Bayesian networks became a popular framework for reasoning with uncertainty. Efficient methods have been developed for probabilistic reasoning with new evidence. However, when new evidence is uncertain or imprecise different methods have been proposed. The original contribution of this paper are guidelines for the treatment of different types of uncertain evidence, the rules for combining evidence from different sources, and the model revision with uncertain evidence.
  • Bayesian networks became a popular framework for reasoning with uncertainty. Efficient methods have been developed for probabilistic reasoning with new evidence. However, when new evidence is uncertain or imprecise different methods have been proposed. The original contribution of this paper are guidelines for the treatment of different types of uncertain evidence, the rules for combining evidence from different sources, and the model revision with uncertain evidence. (en)
Title
  • Probabilistic reasoning with uncertain evidence
  • Probabilistic reasoning with uncertain evidence (en)
  • Pravděpodobnostní usuzování při nejisté evidenci (cs)
skos:prefLabel
  • Probabilistic reasoning with uncertain evidence
  • Probabilistic reasoning with uncertain evidence (en)
  • Pravděpodobnostní usuzování při nejisté evidenci (cs)
skos:notation
  • RIV/67985556:_____/04:00106418!RIV/2005/GA0/A16005/N
http://linked.open.../vavai/riv/strany
  • 453;465
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/02/1269), Z(AV0Z1075907), Z(MSM 311402001)
http://linked.open...iv/cisloPeriodika
  • 5
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
  • 582110
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/04:00106418
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • probabilistic models;Bayesian networks;belief revision (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [43C03BAE654B]
http://linked.open...i/riv/nazevZdroje
  • Neural Network World
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...v/svazekPeriodika
  • 15
http://linked.open...iv/tvurceVysledku
  • Vomlel, Jiří
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-0552
number of pages
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