作者: Yonghong Tian
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摘要: The relational structure is an important source of information, which often ignored by the traditional statistical learning methods. Thus this thesis focuses on how to explicitly exploit such information in tasks so as build more effective and robust models. main methodology used derived from context-based modeling analysis. Several models algorithms are investigated different viewpoints context, thereby demonstrating general applicability learning.