Data for: Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling framework
Published: 26 April 2021| Version 1 | DOI: 10.17632/nmtvky5cyy.1
Contributor:
Seung-Seop JinDescription
The source codes are uploaded for the replication of results in the following manuscript: Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling framework Once the zip file is unzipped, please read "readme.pdf" to see the implementation and results.
Files
Categories
Kernel Method, Response Surface Methodology, Gaussian Process