Understanding and comparing scalable Gaussian process regression for big data

• Main Authors: Liu, Haitao, Cai, Jianfei, Ong, Yew-Soon, Wang, Yi
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Gaussian Process; Big Data
• 在線閱讀: https://hdl.handle.net/10356/139619

As a non-parametric Bayesian model which produces informative predictive distribution, Gaussian process (GP) has been widely used in various fields, like regression, classification and optimization. The cubic complexity of standard GP however leads to poor scalability, which poses challenges in the...