bibtype |
J -
Journal Article
|
ARLID |
0410587 |
utime |
20240103182224.7 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
Bayesian M-T clustering for reduced parameterisation of Markov chains used for non-linear adaptive elements |
specification |
|
serial |
ARLID |
cav_un_epca*0256218 |
ISSN |
0005-1098 |
title
|
Automatica |
volume_id |
37 |
volume |
6 (2001) |
page_num |
1071-1078 |
publisher |
|
|
keyword |
Markov chain |
keyword |
clustering |
keyword |
Bayesian mixture estimation |
author
(primary) |
ARLID |
cav_un_auth*0101219 |
name1 |
Valečková |
name2 |
Markéta |
institution |
UTIA-B |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101124 |
name1 |
Kárný |
name2 |
Miroslav |
institution |
UTIA-B |
full_dept |
Department of Adaptive Systems |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0212452 |
name1 |
Sutanto |
name2 |
E. L. |
country |
GB |
|
COSATI |
09I |
cas_special |
project |
project_id |
1999/12058 |
agency |
IST |
country |
XE |
|
project |
project_id |
GA102/99/1564 |
agency |
GA ČR |
ARLID |
cav_un_auth*0004444 |
|
research |
AV0Z1075907 |
abstract
(eng) |
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. |
RIV |
BC |
department |
AS |
permalink |
http://hdl.handle.net/11104/0130676 |
ID_orig |
UTIA-B 20010056 |
arlyear |
2001 |
mrcbU63 |
cav_un_epca*0256218 Automatica 0005-1098 1873-2836 Roč. 37 č. 6 2001 1071 1078 Elsevier |
|