Semi-parametric approach to random forests for high-dimensional bayesian optimisation
author
Kuzmanovski, Vladimir
Hollmén, Jaakko
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
publisher
Springer Science and Business Media Deutschland GmbH
year of publication
2022
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
url
https://doi.org/10.1007/978-3-031-18840-4_30
subject term
tehisõpe
optimeerimine
algoritmid
Scopus
Conference Proceedings at Scopus
Article at Scopus
WOS
Conference Proceedings at WOS
Article at WOS
kvartiil
Q3
category (general)
Computer science
en
Arvutiteadus
et
Mathematics
en
Matemaatika
et
category (sub)
Computer science. General computer science
en
Arvutiteadus. Üldine arvutiteadus
et
Mathematics. Theoretical computer science
en
Matemaatika. Teoreetiline arvutiteadus
et
keyword
deep learning
function evaluation
learning systems
optimization
random forests
ISSN
0302-9743
ISBN
978-303118839-8
notes
Bibliogr.: 38 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
Targa linna tippkeskus
language
inglise