Context-based statistical relational learning

	Context-based statistical relational learning
	Tian, Yonghong
	2006
发表期刊	AI COMMUNICATIONS
ISSN	0921-7126
卷号	19 期号:3 页码:291-293
摘要	The relational structure is an important source of information, which is often ignored by the traditional statistical learning methods. Thus this thesis focuses on how to explicitly exploit such relational information in statistical learning tasks so as to build more effective and more robust models. The main methodology used in the thesis is derived from context-based modeling and analysis. Several models and algorithms are investigated from different viewpoints of context, thereby demonstrating the general applicability of context-based statistical relational learning.
关键词	statistical relational learning context modeling contextual dependency networks linkage semantic kernels
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000240601100006
出版者	IOS PRESS
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10331
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	Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Tian, Yonghong. Context-based statistical relational learning[J]. AI COMMUNICATIONS,2006,19(3):291-293.
APA	Tian, Yonghong.(2006).Context-based statistical relational learning.AI COMMUNICATIONS,19(3),291-293.
MLA	Tian, Yonghong."Context-based statistical relational learning".AI COMMUNICATIONS 19.3(2006):291-293.