中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Latent linkage semantic kernels for collective classification of link data

文献类型:期刊论文

作者Tian, Yonghong; Huang, Tiejun; Gao, Wen
刊名JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
出版日期2006-05-01
卷号26期号:3页码:269-301
关键词kernel methods link regularity latent linkage semantic kernel kernel-based contextual dependency networks block-based link analysis collective classification
ISSN号0925-9902
DOI10.1007/s10844-006-2208-9
英文摘要Generally, links among objects demonstrate certain patterns and contain rich semantic clues. These important clues can be used to improve classification accuracy. However, many real-world link data may exhibit more complex regularity. For example, there may be some noisy links that carry no human editorial endorsement about semantic relationships. To effectively capture such regularity, this paper proposes latent linkage semantic kernels (LLSKs) by first introducing the linkage kernels to model the local and global dependency structure of a link graph and then applying the singular value decomposition (SVD) in the kernel-induced space. For the computational efficiency on large datasets, we also develop a block-based algorithm for LLSKs. A kernel-based contextual dependency network (KCDN) model is then presented to exploit the dependencies in a network of objects for collective classification. We provide experimental results demonstrating that the KCDN model, together with LLSKs, demonstrates relatively high robustness on the datasets with the complex link regularity, and the block-based computation method can scale well with varying sizes of the problem.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000239665800004
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/10420]  
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.Peking Univ, Digital Media Inst, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Tian, Yonghong,Huang, Tiejun,Gao, Wen. Latent linkage semantic kernels for collective classification of link data[J]. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS,2006,26(3):269-301.
APA Tian, Yonghong,Huang, Tiejun,&Gao, Wen.(2006).Latent linkage semantic kernels for collective classification of link data.JOURNAL OF INTELLIGENT INFORMATION SYSTEMS,26(3),269-301.
MLA Tian, Yonghong,et al."Latent linkage semantic kernels for collective classification of link data".JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 26.3(2006):269-301.

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。