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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F01%3A16010056%21RIV%2F2003%2FAV0%2FA16003%2FN
rdf:type
skos:Concept n14:Vysledek
dcterms:description
Markov chains are black box models ideal for describing stochastic digitised systems. Although the identification of their parameters can be a relatively easy task to perform, the dimensionality involved become undesirable large. This significant drawback can be overcome by exploiting smoothness of the underlying system. The paper present a novel hybrid off-line algorithm to locate areas which merit detailed model description. It comprises Bayesian parameter estimation and Mean tracking algorithm. Markov chains are black box models ideal for describing stochastic digitised systems. Although the identification of their parameters can be a relatively easy task to perform, the dimensionality involved become undesirable large. This significant drawback can be overcome by exploiting smoothness of the underlying system. The paper present a novel hybrid off-line algorithm to locate areas which merit detailed model description. It comprises Bayesian parameter estimation and Mean tracking algorithm.
dcterms:title
Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements. Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements.
skos:prefLabel
Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements. Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements.
skos:notation
RIV/67985556:_____/01:16010056!RIV/2003/AV0/A16003/N
n4:strany
1071;1078
n4:aktivita
n12:Z n12:P
n4:aktivity
P(GA102/99/1564), Z(AV0Z1075907)
n4:cisloPeriodika
6
n4:dodaniDat
n13:2003
n4:domaciTvurceVysledku
n11:6585256 n11:1050702
n4:druhVysledku
n6:J
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
674226
n4:idVysledku
RIV/67985556:_____/01:16010056
n4:jazykVysledku
n16:eng
n4:klicovaSlova
Markov chain; clustering; Bayesian mixture estimation
n4:klicoveSlovo
n8:Bayesian%20mixture%20estimation n8:Markov%20chain n8:clustering
n4:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n4:kontrolniKodProRIV
[9ECE4EB852E2]
n4:nazevZdroje
Automatica
n4:obor
n15:BC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:pocetUcastnikuAkce
0
n4:pocetZahranicnichUcastnikuAkce
0
n4:projekt
n10:GA102%2F99%2F1564
n4:rokUplatneniVysledku
n13:2001
n4:svazekPeriodika
37
n4:tvurceVysledku
Valečková, Markéta Sutanto, E. L. Kárný, Miroslav
n4:zamer
n5:AV0Z1075907
s:issn
0005-1098
s:numberOfPages
8