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Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial
SYS 0475182 LBL 01000a^^22220027750^450 005 20240103214139.4 014 $a 85016474470 $2 SCOPUS 014 $a 000402745500001 $2 WOS 017 $a 10.1142/S0218001417500288 $2 DOI 100 $a 20170612d m y slo 03 ba 101 $a eng $d eng 102 $a GB 200 1-
$a Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial 215 $a 37 s. $c E 463 -1
$1 001 cav_un_epca*0253420 $1 011 $a 0218-0014 $e 1793-6381 $1 200 1 $a International Journal of Pattern Recognition and Artificial Intelligence $v Roč. 31, č. 9 (2017) 610 $a multivariate statistics 610 $a product mixtures 610 $a naive Bayes models 610 $a EM algorithm 610 $a pattern recognition 610 $a neural networks 610 $a expert systems 610 $a image analysis 700 -1
$3 cav_un_auth*0101091 $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $w Department of Pattern Recognition $4 070 $9 100 $a Grim $b Jiří $p UTIA-B $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2017/RO/grim-0475182.pdf
Počet záznamů: 1