Uncluttered domain sub-similarity modeling for transfer regression

• المؤلفون الرئيسيون: Wei, Pengfei, Sagarna, Ramon, Ke, Yiping, Ong, Yew-Soon
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Kernel; Computational Modeling
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/143654

Transfer covariance functions, which can model domain similarities and adaptively control the knowledge transfer across domains, are widely used in Gaussian process (GP) based transfer learning. We focus on regression problems in a black-box learning scenario, and study a family of rather general tr...