中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning contextual dependency network models for link-based classification

文献类型:期刊论文

作者Tian, Yonghong; Yang, Qiang; Huang, Tiejun; Ling, Charles X.; Gao, Wen
刊名IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
出版日期2006-11-01
卷号18期号:11页码:1482-1496
关键词data dependencies hypertext/hypermedia machine learning link-based classification link context contextual dependency networks Gibbs inference
ISSN号1041-4347
英文摘要Links among objects contain rich semantics that can be very helpful in classifying the objects. However, many irrelevant links can be found in real-world link data such as Web pages. Often, these noisy and irrelevant links do not provide useful and predictive information for categorization. It is thus important to automatically identify which links are most relevant for categorization. In this paper, we present a contextual dependency network (CDN) model for classifying linked objects in the presence of noisy and irrelevant links. The CDN model makes use of a dependency function that characterizes the contextual dependencies among linked objects. In this way, CDNs can differentiate the impacts of the related objects on the classification and consequently reduce the effect of irrelevant links on the classification. We show how to learn the CDN model effectively and how to use the Gibbs inference framework over the learned model for collective classification of multiple linked objects. The experiments show that the CDN model demonstrates relatively high robustness on data sets containing irrelevant links.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000240544500004
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/10354]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Tian, Yonghong
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
2.Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
3.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China
4.Univ Western Ontario, Dept Comp Sci, London, ON N6A 5B7, Canada
推荐引用方式
GB/T 7714
Tian, Yonghong,Yang, Qiang,Huang, Tiejun,et al. Learning contextual dependency network models for link-based classification[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2006,18(11):1482-1496.
APA Tian, Yonghong,Yang, Qiang,Huang, Tiejun,Ling, Charles X.,&Gao, Wen.(2006).Learning contextual dependency network models for link-based classification.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,18(11),1482-1496.
MLA Tian, Yonghong,et al."Learning contextual dependency network models for link-based classification".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 18.11(2006):1482-1496.

入库方式: OAI收割

来源:计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。