| 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 |
|