Composite surrogate for likelihood-free bayesian optimisation in high-dimensional settings of activity-based transportation models
vastutusandmed
Vladimir Kuzmanovski and Jaakko Hollmén
allikas
Advances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021 : proceedings
ilmumiskoht
Cham
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 171-183 : ill
seeria-sari
Lecture notes in computer science ; 12695
konverentsi nimetus, aeg
19th International Symposium on Intelligent Data Analysis, IDA 2021, April 26–28, 2021
konverentsi toimumispaik
Porto, Portugal
ISSN
0302-9743
ISBN
78-3-030-74250-8
märkused
Bibliogr.: 42 ref
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
märksõna
võtmesõna
Bayesian optimisation
high-dimensional data
likelihood-free inference
transportation model
kvartiil
klassifikaator
kategooria (üld)
kategooria (alam)
Kuzmanovski, V., Hollmén, J. Composite surrogate for likelihood-free bayesian optimisation in high-dimensional settings of activity-based transportation models // Advances in Intelligent Data Analysis XIX : 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021 : proceedings. Cham : Springer Nature, 2021. p. 171-183 : ill. (Lecture notes in computer science ; 12695).