Context-based statistical relational learning
Tian, Yonghong
刊名AI COMMUNICATIONS
2006
卷号19期号:3页码:291-293
关键词statistical relational learning context modeling contextual dependency networks linkage semantic kernels
ISSN号0921-7126
英文摘要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.
WOS研究方向Computer Science
语种英语
出版者IOS PRESS
WOS记录号WOS:000240601100006
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/10330]  
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.
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