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Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees
SYS 0434119 LBL 02579^^^^^2200361^^^450 005 20240103204926.1 014 $a 84908887413 $2 SCOPUS 100 $a 20141106d m y slo 03 ba 101 0-
$a eng $d eng 102 $a PT 200 1-
$a Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees 215 $a 11 s. $c P 300 $a DOI nezjištěno ; UT WOS nezjištěno 463 -1
$1 001 cav_un_epca*0434276 $1 010 $a 978-989-758-054-3 $1 200 1 $a NCTA2014 - International Conference on Neural Computation Theory and Applications $v S. 65-75 $1 210 $a Rome $c SCITEPRESS $d 2014 610 0-
$a Probabilistic Neural Networks 610 0-
$a Product Mixtures 610 0-
$a Mixtures of Dependence Trees 610 0-
$a EM Algorithm 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 70 $a Grim $b Jiří $p UTIA-B $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0021092 $4 070 $9 30 $a Pudil $b P. $y CZ 856 $u http://library.utia.cas.cz/separaty/2014/RO/grim-0434119.pdf
Number of the records: 1