Number of the records: 1
On-line mixture-based alternative to logistic regression
SYS 0464463 LBL 02079^^^^^2200301^^^450 005 20240111140926.8 014 $a 85020286021 $2 SCOPUS 014 $a 000388307600001 $2 WOS 017 70
$a 10.14311/NNW.2016.26.024 $2 DOI 100 $a 20161029d m y slo 03 ba 101 0-
$a eng 102 $a CZ 200 1-
$a On-line mixture-based alternative to logistic regression 215 $a 20 s. $c E 463 -1
$1 001 cav_un_epca*0290321 $1 011 $a 1210-0552 $1 200 1 $a Neural Network World $v Roč. 26, č. 5 (2016), s. 417-437 $1 210 $c Ústav informatiky AV ČR, v. v. i. 610 0-
$a on-line modeling 610 0-
$a on-line logistic regression 610 0-
$a recursive mixture estimation 610 0-
$a data dependent pointer 700 -1
$3 cav_un_auth*0101167 $i Zpracování signálů $j Department of Signal Processing $k ZS $l ZS $w Department of Signal Processing $4 070 $a Nagy $b Ivan $p UTIA-B $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0108105 $i Zpracování signálů $j Department of Signal Processing $k ZS $l ZS $w Department of Signal Processing $4 070 $a Suzdaleva $b Evgenia $p UTIA-B $y RU $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $q pdf $u http://library.utia.cas.cz/separaty/2016/ZS/suzdaleva-0464463.pdf
Number of the records: 1