Semi-parametric approach to random forests for high-dimensional bayesian optimisation
statement of authorship
Vladimir Kuzmanovski and Jaakko Hollmén
source
Discovery Science : 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings
location of publication
Cham
year of publication
pages
p. 418 - 428
series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; 13601
conference name, date
25th International Conference on Discovery Science, DS 2022, 10-12 October 2022
conference location
Montpellier
subject term
kvartiil
category (general)
keyword
ISSN
0302-9743
ISBN
978-303118839-8
notes
Bibliogr.: 38 ref
scientific publication
teaduspublikatsioon
classifier
TTÜ department
language
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).