About: Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements.

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About: Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements. Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
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. (en)
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. (en)
skos:notation	RIV/67985556:_____/01:16010056!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany	1071;1078
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/99/1564), Z(AV0Z1075907)
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2003
http://linked.open...aciTvurceVysledku	Kárný, Miroslav Valečková, Markéta
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	674226
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/01:16010056
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Markov chain; clustering; Bayesian mixture estimation (en)
http://linked.open.../riv/klicoveSlovo	clustering Bayesian mixture estimation Markov chain
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[9ECE4EB852E2]
http://linked.open...i/riv/nazevZdroje	Automatica
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...vavai/riv/projekt	Research and education centre in adaptive systems - A pilot project
http://linked.open...UplatneniVysledku	2001
http://linked.open...v/svazekPeriodika	37
http://linked.open...iv/tvurceVysledku	Kárný, Miroslav Valečková, Markéta Sutanto, E. L.
http://linked.open...n/vavai/riv/zamer	Uncertainty methods in theoretical cybernetics: system identification, information processing, decision-making, and control
issn	0005-1098
number of pages	8 (xsd:int)

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