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
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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
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