0410572 20240103182223.420060210235959.9 3-211-83651-9 Wien Springer 2001 4 s. 398-401KůrkováV.NerudaR.KárnýM.SteeleN. C. mixture estimation initial estimate dynamic multiple models cav_un_auth*0101124 Kárný Miroslav UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101168 Nedoma Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101219 Valečková Markéta UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/prace/20010041.ps 09I 09K 12B 1999/12058 IST XE AV0Z1075907 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. cav_un_auth*0212760 International Conference on Artificial Neural Nets and Genetic Algorithms /5./ Prague CZ 22.04.2001-25.04.2001 BB AS http://hdl.handle.net/11104/0130661 UTIA-B 20010041 2001 2001 Wien Springer 3-211-83651-9 Artificial Neural Nets and Genetic Algorithms. Proceedings 398 401 Kůrková V. 340 Neruda R. 340 Kárný M. 340 Steele N. C. 340