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Description
  • One of the most common ways of representing classes of equivalence of Bayesian networks is the use of essential graphs.In the paper their characterization is presented. The main observation is that every essential graph is the largest chain graph within a special class of chain graphs without flags. A special operation of legal merging of components for these graphs is introduced. It leads to an algorithm for finding the essential graph on basic of any equivalent chain graph without flags.
  • One of the most common ways of representing classes of equivalence of Bayesian networks is the use of essential graphs.In the paper their characterization is presented. The main observation is that every essential graph is the largest chain graph within a special class of chain graphs without flags. A special operation of legal merging of components for these graphs is introduced. It leads to an algorithm for finding the essential graph on basic of any equivalent chain graph without flags. (en)
  • Jedním z nejběžnějších způsobů reprezentace tříd ekvivalence Bayesovských sítí jsou esenciální grafy. Článek prezetuje jejich charakterizaci. Hlavní pozorování je že každý esenciální graf je největší graf ve speciální třídě grafů bez tzv. flagů. Je zavedena speciální operace legálního sloučení komponent pro tyto grafy. To vede k algoritmu k nalezení esenciálniho grafu na základě libovolného ekvivalentního řetězcového grafu bez flagů (cs)
Title
  • Characterization of essential graphs by means of the operation of legal merging of components
  • Charakterizace esencialnich grafů pomocí operace legalního sloučení komponent (cs)
  • Characterization of essential graphs by means of the operation of legal merging of components (en)
skos:prefLabel
  • Characterization of essential graphs by means of the operation of legal merging of components
  • Charakterizace esencialnich grafů pomocí operace legalního sloučení komponent (cs)
  • Characterization of essential graphs by means of the operation of legal merging of components (en)
skos:notation
  • RIV/67985556:_____/04:00106244!RIV/2005/GA0/A16005/N
http://linked.open.../vavai/riv/strany
  • 43;62
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/01/1482), P(IAA1075104), Z(AV0Z1075907)
http://linked.open...iv/cisloPeriodika
  • Suppl 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
  • 557398
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/04:00106244
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • chain graph;acyclic directed graph;essential graph (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [BA1B7DB8FDCC]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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
  • 12
http://linked.open...iv/tvurceVysledku
  • Studený, Milan
http://linked.open...n/vavai/riv/zamer
issn
  • 0218-4885
number of pages
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