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Description
  • Selecting of participants influencing given process by their measured outputs is an important sub-problem of multiple-participant decision making. We propose to use the Bayesian model structure identification based on maximizing the likelihood function in structure space. Optimization is done by employing random restarts. The paper proposes improvement of the way that structure space is searched through by avoiding repeated searches.
  • Selecting of participants influencing given process by their measured outputs is an important sub-problem of multiple-participant decision making. We propose to use the Bayesian model structure identification based on maximizing the likelihood function in structure space. Optimization is done by employing random restarts. The paper proposes improvement of the way that structure space is searched through by avoiding repeated searches. (en)
  • Nalezení účastníků ovlivňujících daný proces použitím jeho výstupů je důležitý problém rozhodování mezi více účastníky. Je navrhována metoda pro Bayesovské odhadování struktur založená na maximalizaci likelihood funkce v prostoru struktur modelu. Je použit optimalizační algoritmus založený na metodě náhodných restartů. Článek také navrhuje vylepšení způsobu na procházení prostoru struktur, zamezením opakovaných vyhledávání (cs)
Title
  • Computationally intensive methods in Bayesian model-structure identification
  • Computationally intensive methods in Bayesian model-structure identification (en)
  • Výpočetně náročné metody v Bayesovském odhadování struktury modelu (cs)
skos:prefLabel
  • Computationally intensive methods in Bayesian model-structure identification
  • Computationally intensive methods in Bayesian model-structure identification (en)
  • Výpočetně náročné metody v Bayesovském odhadování struktury modelu (cs)
skos:notation
  • RIV/67985556:_____/04:00106235!RIV/2005/GA0/A16005/N
http://linked.open.../vavai/riv/strany
  • 75;79
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/03/0049), P(IBS1075351), Z(AV0Z1075907)
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
  • 558476
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/04:00106235
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • structure identification;system identification;structure estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B28D2CE3F6F1]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Adelaide
http://linked.open...i/riv/nazevZdroje
  • Multiple Participant Decision Making
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
  • Tesař, Ludvík
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
  • Advanced Knowledge International
https://schema.org/isbn
  • 0-9751004-5-9
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