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Feature-Based Transfer Learning Based on Distribution Similarity
Zhong, Xiaofeng1; Guo, Shize2; Shan, Hong1; Gao, Liang2; Xue, Di3; Zhao, Nan4
第一作者Zhong, Xiaofeng
2018-06-04
发表期刊IEEE Access
通讯作者邮箱eeijunre@126.com
ISSN2169-3536
文章类型article
卷号6页码:35551-35557
产权排序4
摘要

Transfer learning has been found helpful at enhancing the target domain's learning process by transferring useful knowledge from other different but related source domains. In many applications, however, collecting and labeling target information is not only very difficult but also expensive. At the same time, considerable prior experience in this regard exists in other application domains. This paper proposes a feature-based transfer learning method based on distribution similarity that aims at the partial overlap of features between two domains. The non-overlapping features are completed by leveraging the distribution similarity of other features within the source domain. Features of the two domains are then reweighted in accordance with the distribution similarity between the source and target domains. This, in turn, decreases the distribution discrepancy between the two domains, therefore achieving the desired feature transfer. Results of the experiments performed on Facebook and Sina Microblog data sets demonstrate that the proposed method is capable of effectively enhancing the accuracy of the prediction function. © 2018 IEEE.

关键词Distribution Similarity Feature Transfer Kl Divergence Transfer Learning
学科领域Labeling - Learning Systems - Personnel Training - Social Networking (Online)
学科门类Probability Distributions
DOI10.1109/ACCESS.2018.2843773
收录类别SCIE ; EI
语种英语
项目简介

This work was supported by the Scientific Research Funds of PLA under Grant AWS13J003.

出版者Institute of Electrical and Electronics Engineers Inc.
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27773
专题中国科学院行为科学重点实验室
通讯作者Zhong, Xiaofeng
作者单位1.Electronic Engineering Institute, Hefei; 230037, China;
2.Institute of North Electronic Equipment, Beijing; 100817, China;
3.College of Command Information Systems, PLA University of Science and Technology, Nanjing; 210002, China;
4.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing; 100190, China
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GB/T 7714
Zhong, Xiaofeng,Guo, Shize,Shan, Hong,et al. Feature-Based Transfer Learning Based on Distribution Similarity[J]. IEEE Access,2018,6:35551-35557.
APA Zhong, Xiaofeng,Guo, Shize,Shan, Hong,Gao, Liang,Xue, Di,&Zhao, Nan.(2018).Feature-Based Transfer Learning Based on Distribution Similarity.IEEE Access,6,35551-35557.
MLA Zhong, Xiaofeng,et al."Feature-Based Transfer Learning Based on Distribution Similarity".IEEE Access 6(2018):35551-35557.
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