Context-based statistical relational learning

被引:2
作者
Tian, Yonghong [1 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
关键词
statistical relational learning; context modeling; contextual dependency networks; linkage semantic kernels;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
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.
引用
收藏
页码:291 / 293
页数:3
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