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Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions
SYS 0490309 LBL 01000a^^22220027750^450 005 20240103220122.3 017 $2 DOI 100 $a 20180614d m y slo 03 ba 101 $a eng $d eng 102 $a CZ 200 1-
$a Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions 215 $a 12 s. $c P 463 -1
$1 001 cav_un_epca*0490306 $1 010 $a 978-80-7378-361-7 $1 200 1 $a Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18) $v S. 153-164 $1 210 $a Praha $c MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University $d 2018 $1 702 1 $4 340 $a Kratochvíl $b Václav $1 702 1 $4 340 $a Vejnarová $b Jiřina 610 $a Bayesian networks 610 $a Learning model parameters 610 $a monotonicity condition 700 -1
$3 cav_un_auth*0329423 $a Plajner $b Martin $i Matematická teorie rozhodování $j Department of Decision Making Theory $k MTR $l MTR $p UTIA-B $w Department of Decision Making Theory $y CZ $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101228 $a Vomlel $b Jiří $i Matematická teorie rozhodování $j Department of Decision Making Theory $k MTR $l MTR $p UTIA-B $w Department of Decision Making Theory $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2018/MTR/plajner-0490309.pdf
Number of the records: 1