Tree edit distance from information theory

被引：0

作者：

Torsello, A ^{[1
]}

Hancock, ER ^{[1
]}

机构：

[1] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England

来源：

GRAPH BASED REPRESENTATIONS IN PATTERN RECOGNITION, PROCEEDINGS | 2003年 / 2726卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method for estimating the cost of tree edit operations. The approach poses the problem as that of estimating a generative model for a set of tree samples. The generative model uses the tree-union as the structural archetype for every tree in the distribution and assigns to each node in the archetype the probability that the node is present in a sample. A minimum descriptor length formulation is then used to estimate the structure and parameters of this tree model as well as the node-correspondences between trees in the sample-set and the tree model.

引用

页码：71 / 82

页数：12

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