中国科学院心理研究所机构知识库
Advanced  
PSYCH OpenIR  > 社会与工程心理学研究室  > 期刊论文
题名:
Heterogeneous Domain Adaptation Using Linear Kernel
作者: Guan, ZD (Guan, Zengda); Bai, ST (Bai, Shuotian); Zhu, TS (Zhu, Tingshao)
通讯作者: Guan, ZD
刊名: PERVASIVE COMPUTING AND THE NETWORKED WORLD
ISSN号: 0302-9743
出版日期: 2014
卷号: 8351, 期号:不详, 页码:124-133
收录类别: 其他
英文摘要:

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.

语种: 英语
内容类型: 期刊论文
URI标识: http://ir.psych.ac.cn/handle/311026/25679
Appears in Collections:社会与工程心理学研究室_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: Chinese Acad Sci, Univ Chinese Acad Sci, Inst Psychol, Beijing

Recommended Citation:
Guan, ZD ,Bai, ST ,Zhu, TS . Heterogeneous Domain Adaptation Using Linear Kernel[J]. PERVASIVE COMPUTING AND THE NETWORKED WORLD,2014,8351(不详):124-133.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Guan, ZD (Guan, Zengda)]'s Articles
[Bai, ST (Bai, Shuotian)]'s Articles
[Zhu, TS (Zhu, Tingshao)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Guan, ZD (Guan, Zengda)]‘s Articles
[Bai, ST (Bai, Shuotian)]‘s Articles
[Zhu, TS (Zhu, Tingshao)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院心理研究所 - Feedback
Powered by CSpace