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

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

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...

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Bibliographic Details
Main Authors: Wei, Pengfei, Sagarna, Ramon, Ke, Yiping, Ong, Yew-Soon
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Transfer Regression
Transfer Covariance Function
Gaussian Process
Online Access:https://hdl.handle.net/10356/147569

Internet

https://hdl.handle.net/10356/147569

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