Semi-parametric approach to random forests for high-dimensional bayesian optimisation

vastutusandmed
Vladimir Kuzmanovski and Jaakko Hollmén
allikas
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
ilmumiskoht
Cham
ilmumisaasta
leheküljed
p. 418 - 428
seeria-sari
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 13601
konverentsi nimetus, aeg
25th International Conference on Discovery Science, DS 2022, 10-12 October 2022
konverentsi toimumispaik
Montpellier
kvartiil
Q3
kategooria (üld)
võtmesõna
ISSN
0302-9743
ISBN
978-303118839-8
märkused
Bibliogr.: 38 ref
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.1
TTÜ struktuuriüksus
keel
inglise
Kuzmanovski, V., Hollmén, J. Semi-parametric approach to random forests for high-dimensional bayesian optimisation // Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings. Cham : Springer Science and Business Media Deutschland GmbH, 2022. p. 418 - 428. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 13601). https://doi.org/10.1007/978-3-031-18840-4_30