摘要： 提出一种新型的利用多视图树的方法解决多关系分类的问题。在多视图分类方法中，不同视图对分类任务贡献不同，视图间存在互补性。对视图互补性进行研究，提出视图互补性的度量方法。根据视图互补性选择视图进行集成，构造多视图树，用于多关系分类。实验结果表明，多视图树无论在分类效果还是效率上，都优于现有的多关系分类方法。

关键词: 多关系分类, 多视图, 二叉树

Abstract: In this paper, a new approach using multiple view tree is proposed to solve the problem of multi-relational classification. In the multiple view classification, different individual view has different contribution to the classification task. Views are complementary to the classification. The complementary property of views is studies and a compute method of views is proposed complementary. The views are chosen to integrate to construct a multi-view tree according to the views complementary. Experimental results show that multi-relational classification method based on multiple view tree outperforms the existing methods in terms of accuracy and efficiency.

Key words: multi-relational classification, multiple view, binary tree

中图分类号: 

• TP311