计算动词决策树的训练算法

2010 International Conference on Anti-Counterfeiting, Security and Identification Pub Date : 2010-07-18 DOI:10.1109/ICASID.2010.5551334

Juanjuan Sun, Tao Yang

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引用次数: 0

摘要

本文提出了一种基于影响因子的训练样例学习计算动词决策树(以下简称动词树)的算法，影响因子是通过计算动词相似度来计算的。通过一些例子说明了动词决策树的创建和动词决策树的实用性。实例表明，动词决策树是从历史记录和布尔逻辑记录中概括和提取知识的强大工具

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A training algorithm of computational verb decision trees

In this paper, an algorithm of learning computational verb decision trees (verb trees, for short) from training examples base on impact factors, which are calculated by using computational verb similarities, is presented. Some examples are used to show the creation of verb decision tree and the usefulness of verb decision trees. Examples are used to show that verb decision trees are powerful tools to generalize and extract knowledge from both historical records and Boolean logical records

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2010 International Conference on Anti-Counterfeiting, Security and Identification

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