Data for: Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling framework

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.本数据集附带的源代码用于复现下述学术稿件中的实验结果：《基于组合核学习与多阶段采样框架加速高斯过程代理建模（Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling framework）》 解压该压缩包后，请阅读"readme.pdf"以了解代码实现细节与实验结果。