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Mixture ratio modeling of dynamic systems
SYS 0539397 LBL 01000a^^22220027750^450 005 20240103225406.7 014 $a 000616106100001 $2 WOS 014 $a 85100778905 $2 SCOPUS 017 $a 10.1002/acs.3219 $2 DOI 100 $a 20210209d m y slo 03 ba 101 $a eng $d eng 102 $a GB 200 1-
$a Mixture ratio modeling of dynamic systems 215 $a 16 s. $c E 463 -1
$1 001 cav_un_epca*0256772 $1 011 $a 0890-6327 $e 1099-1115 $1 200 1 $a International Journal of Adaptive Control and Signal Processing $v Roč. 35, č. 5 (2021), s. 660-675 $1 210 $c Wiley 610 $a approximate Bayesian estimation 610 $a black-box dynamic model 610 $a data stream processing 610 $a universal approximation 610 $a mixture model 610 $a Kullback-Leibler divergence 700 -1
$3 cav_un_auth*0101124 $a Kárný $b Miroslav $p UTIA-B $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $4 070 $9 40 $z A $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0333672 $a Ruman $b Marko $p UTIA-B $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $w Department of Adaptive Systems $y SK $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2021/AS/karny-0539397.pdf 856 $u https://onlinelibrary.wiley.com/doi/full/10.1002/acs.3219 $9 RIV
Number of the records: 1