Learning contextual dependency network models for link-based classification

	Learning contextual dependency network models for link-based classification
	Tian, Yonghong ; Yang, Qiang ; Huang, Tiejun ; Ling, Charles X.; Gao, Wen
	2006-11-01
发表期刊	IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
ISSN	1041-4347
卷号	18 期号:11 页码:1482-1496
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.
关键词	data dependencies hypertext/hypermedia machine learning link-based classification link context contextual dependency networks Gibbs inference
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000240544500004
出版者	IEEE COMPUTER SOC
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10355
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.