Počet záznamů: 1
Rules extraction from neural networks trained on multimedia data
SYS 0512089 LBL 01000a^^22220027750^450 005 20240103223044.7 014 $a 85074095221 $2 SCOPUS 017 $2 DOI 100 $a 20191129d m y slo 03 ba 101 $a eng 102 $a DE 200 1-
$a Rules extraction from neural networks trained on multimedia data 215 $a 10 s. $c E 463 -1
$1 001 cav_un_epca*0512084 $1 011 $a 1613-0073 $1 200 1 $a ITAT 2019: Information Technologies – Applications and Theory $v S. 26-35 $1 210 $a Aachen $c Technical University & CreateSpace Independent Publishing $d 2019 $1 225 $a CEUR Workshop Proceeding $v 2473 $1 702 1 $4 340 $a Barančíková $b P. $1 702 1 $4 340 $a Holeňa $b M. $1 702 1 $4 340 $a Horváth $b T. $1 702 1 $4 340 $a Pleva $b M. $1 702 1 $4 340 $a Rosa $b R. 610 $a artificial neural networks 610 $a multilayer perceptrons 610 $a deep networks 610 $a rules extraction 610 $a multimedia data 700 -1
$3 cav_un_auth*0383700 $a Fanta $b M. $y CZ 701 -1
$3 cav_un_auth*0307366 $a Pulc $b P. $y CZ 701 -1
$3 cav_un_auth*0100761 $a Holeňa $b Martin $p UIVT-O $i Oddělení strojového učení $j Department of Machine Learning $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i. 856 $9 RIV $u http://ceur-ws.org/Vol-2473/paper4.pdf
Počet záznamů: 1