According to the abstract structure, a trained concept tree is automatically constructed and extended with the help of experts through inserting, pruning and refinement.
本文根据这个抽象结构,自动地从样本知识源构造训练概念树作为初始本体,然后在专家的参与下对训练概念树进行插入、剪枝和求精,不断完善和扩展初始本体。
参考来源 - 使用一种训练概念树的半自动本体获取方法·2,447,543篇论文数据,部分数据来源于NoteExpress
基于主题概念树的概念检索导航为用户检索提供了便利。
Conceptual information retrieval navigation based on the subject concept tree provides convenience to the user.
介绍一种局部上下文分析(LCA)剪枝概念树的方法。
This paper proposes a novel query expansion method using Local Context Analysis (LCA) based concept tree pruning.
基于云模型的分类算法多采用云变换和泛概念树方法,存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
This is a very important concept, and we'll see a lot of algorithms essentially implement decision trees.
这是一个很重要的概念,我们可以看到很多,基于决策树的算法。
应用推荐