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

• المؤلفون الرئيسيون: Wei, Pengfei, Sagarna, Ramon, Ke, Yiping, Ong, Yew-Soon
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Transfer Regression; Transfer Covariance Function; Gaussian Process
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/147569

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...