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Heterogeneous Domain Adaptation Using Linear Kernel
Guan, ZD (Guan, Zengda); Bai, ST (Bai, Shuotian); Zhu, TS (Zhu, Tingshao); Guan, ZD
2014
Source PublicationPERVASIVE COMPUTING AND THE NETWORKED WORLD
ISSN0302-9743
Volume8351Issue:不详Pages:124-133
Abstract

When a task of a certain domain doesn't have enough labels and good features, traditional supervised learning methods usually behave poorly. Transfer learning addresses this problem, which transfers data and knowledge from a related domain to improve the learning performance of the target task. Sometimes, the related task and the target task have the same labels, but have different data distributions and heterogeneous features. In this paper, we propose a general heterogeneous transfer learning framework which combines linear kernel and graph regulation. Linear kernel is used to project the original data of both domains to a Reproducing Kernel Hilbert Space, in which both tasks have the same feature dimensions and close distance of data distributions. Graph regulation is designed to preserve geometric structure of data. We present the algorithms in both unsupervised and supervised way. Experiments on synthetic dataset and real dataset about user web-behavior and personality are performed, and the effectiveness of our method is demonstrated.

Indexed By其他
Language英语
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25679
Collection社会与工程心理学研究室
Corresponding AuthorGuan, ZD
AffiliationChinese Acad Sci, Univ Chinese Acad Sci, Inst Psychol, Beijing
Recommended Citation
GB/T 7714
Guan, ZD ,Bai, ST ,Zhu, TS ,et al. Heterogeneous Domain Adaptation Using Linear Kernel[J]. PERVASIVE COMPUTING AND THE NETWORKED WORLD,2014,8351(不详):124-133.
APA Guan, ZD ,Bai, ST ,Zhu, TS ,&Guan, ZD.(2014).Heterogeneous Domain Adaptation Using Linear Kernel.PERVASIVE COMPUTING AND THE NETWORKED WORLD,8351(不详),124-133.
MLA Guan, ZD ,et al."Heterogeneous Domain Adaptation Using Linear Kernel".PERVASIVE COMPUTING AND THE NETWORKED WORLD 8351.不详(2014):124-133.
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