Global links
University home
Studying
Research
Business
Working here
Alumni and supporters
Our departments
Visiting us
About us
ORE
Open Research Exeter
Advanced Search
Toggle navigation
Home
Browse
This Collection
Titles
Authors
Type
Recent submissions in ORE
Information
About ORE
Uploading to ORE
ORE Policies
Contact Us
Statistics
Most Popular Items
Statistics by Country
Most Popular Authors
Home
Browse
This Collection
Titles
Authors
Type
Recent submissions in ORE
Information
About ORE
Uploading to ORE
ORE Policies
Contact Us
Statistics
Most Popular Items
Statistics by Country
Most Popular Authors
View Item
ORE Home
Faculty of Environment, Science and Economy
Computer Science
View Item
ORE Home
Faculty of Environment, Science and Economy
Computer Science
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation (Optimisation Results)
De Ath, G
;
Chugh, T
;
Rahat, AAM
Date: 1 April 2022
http://hdl.handle.net/10871/129238
final_results.zip (ZIP, 104.3Mb)
processed_results.zip (ZIP, 5.345Gb)
results_DTLZ.zip (ZIP, 454.5Mb)
View more
results_DTLZ_HD.zip (ZIP, 1.782Gb)
results_RW.zip (ZIP, 60.24Mb)
results_WFG.zip (ZIP, 558.2Mb)
results_WFG_HD.zip (ZIP, 2.473Gb)
Dataset
Publisher
University of Exeter
Publisher DOI
https://doi.org/10.24378/exe.3943
Related links
http://hdl.handle.net/10871/129219
https://github.com/georgedeath/mbore/
Abstract
This is the optimisation results for the De Ath et al. (2022) paper “MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation”.
View full metadata
Computer Science
Faculty of Environment, Science and Economy
Item views
0
Full item downloads
0
Except where otherwise noted, this item's licence is described as CC BY 4.0
Show Statistical Information