"Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements."@en . . . . . "[9ECE4EB852E2]" . . "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 . . . . "Automatica" . . . . "Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements." . "Vale\u010Dkov\u00E1, Mark\u00E9ta" . . . "37" . . "Sutanto, E. L." . . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . "2"^^ . "RIV/67985556:_____/01:16010056!RIV/2003/AV0/A16003/N" . "6" . "K\u00E1rn\u00FD, Miroslav" . "3"^^ . "674226" . "0"^^ . "RIV/67985556:_____/01:16010056" . "0"^^ . "Markov chain; clustering; Bayesian mixture estimation"@en . "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." . "0005-1098" . "Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements."@en . "P(GA102/99/1564), Z(AV0Z1075907)" . "8"^^ . . . . "1071;1078" . "Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements." .