Multi-source transfer regression via source-target pairwise segment-Reference-Cited by-同舟云学术

Multi-source transfer regression via source-target pairwise segment

Published:2021-05 Issue: Volume:556 Page:389-403
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Yang Kai,Lu Jie^ORCID,Wan Wanggen,Zhang Guangquan

Funder

Shanghai University

University of Technology Sydney

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference35 articles.

1. Adaptive boosting for transfer learning using dynamic updates;Al-Stouhi,2011

2. B. Cao, S.J. Pan, Y. Zhang, D.-Y. Yeung, Q. Yang, Adaptive transfer learning, in: Proc. 24th Conf. Artificial Intelligence, vol. 2. Atlanta, Georgia, USA, 2010, pp. 407–412.

3. On over-fitting in model selection and subsequent selection bias in performance evaluation;Cawley;J. Mach. Learn. Res.,2010

4. Multisource domain adaptation and its application to early detection of fatigue;Chattopadhyay;ACM Trans. Knowl. Discovery Data,2012

5. Joint distribution optimal transportation for domain adaptation;Courty,2017

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