Number of the records: 1
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy
SYS 0477787 LBL 01000a^^22220027750^450 005 20240103214459.3 017 $a 10.1145/3067695.3076086 $2 DOI 100 $a 20170815d m y slo 03 ba 101 $a eng 102 $a US 200 1-
$a Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy 215 $a 2 s. 463 -1
$1 001 cav_un_epca*0477764 $1 010 $a 978-1-4503-4939-0 $1 200 1 $a GECCO 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion $v S. 177-178 $1 210 $a New York $c ACM $d 2017 610 $a black-box optimization 610 $a evolutionary optimization 610 $a surrogate modelling 610 $a Gaussian-process regression 700 -1
$3 cav_un_auth*0319208 $a Pitra $b Z. $y CZ 701 -1
$3 cav_un_auth*0254540 $a Bajer $b L. $y CZ 701 -1
$3 cav_un_auth*0333690 $a Repický $b J. $y CZ 701 -1
$3 cav_un_auth*0100761 $a Holeňa $b Martin $i Oddělení strojového učení $j Department of Machine Learning $p UIVT-O $w Department of Machine Learning $T Ústav informatiky AV ČR, v. v. i.
Number of the records: 1