Easy-but-effective domain sub-similarity learning for transfer regression

• Main Authors: Wei, Pengfei, Sagarna, Ramon, Ke, Yiping, Ong, Yew-Soon
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Transfer Regression; Transfer Covariance Function; Gaussian Process
• 在線閱讀: https://hdl.handle.net/10356/147569
• 機構: Nanyang Technological University

Transfer covariance function, which can model domain similarity and adaptively control the knowledge transfer across domains, is widely used in transfer learning. In this paper, we concentrate on Gaussian process (GP) models using a transfer covariance function for regression problems in a black-box...