bibtype C - Conference Paper (international conference)
ARLID 0410572
utime 20240103182223.4
mtime 20060210235959.9
ISBN 3-211-83651-9
title (primary) (eng) Initial description of multi-modal dynamic models
publisher
place Wien
name Springer
pub_time 2001
specification
page_count 4 s.
serial
title Artificial Neural Nets and Genetic Algorithms. Proceedings
page_num 398-401
editor
name1 Kůrková
name2 V.
editor
name1 Neruda
name2 R.
editor
name1 Kárný
name2 M.
editor
name1 Steele
name2 N. C.
keyword mixture estimation
keyword initial estimate
keyword dynamic multiple models
author (primary)
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*0101168
name1 Nedoma
name2 Petr
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101167
name1 Nagy
name2 Ivan
institution UTIA-B
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101219
name1 Valečková
name2 Markéta
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/prace/20010041.ps
COSATI 09I
COSATI 09K
COSATI 12B
cas_special
project
project_id 1999/12058
agency IST
country XE
research AV0Z1075907
abstract (eng) The paper describes a novel and promising technique for initiation of mixture-model parameter estimation. The technique is based on gradual splitting of components whenever there is a posssibility that a unimodal sub-model hide more modes. If the splitting implies improving, measured by likelihood function, the new component is accepted. Otherwise, it is canceled.
action
ARLID cav_un_auth*0212760
name International Conference on Artificial Neural Nets and Genetic Algorithms /5./
place Prague
country CZ
dates 22.04.2001-25.04.2001
RIV BB
department AS
permalink http://hdl.handle.net/11104/0130661
ID_orig UTIA-B 20010041
arlyear 2001
mrcbU10 2001
mrcbU10 Wien Springer
mrcbU12 3-211-83651-9
mrcbU63 Artificial Neural Nets and Genetic Algorithms. Proceedings 398 401
mrcbU67 Kůrková V. 340
mrcbU67 Neruda R. 340
mrcbU67 Kárný M. 340
mrcbU67 Steele N. C. 340