The decision tree algorithm is an algorithm of inductive learning, ID3 algorithm is one of the most representative decision tree algorithms, ID3 uses the entropy as the criterion to select the expanded attributes in generating decision tree recursively.
决策树算法是一种归纳学习算法,ID3算法是最具代表的决策树算法之一,它以信息论中的信息熵为度量标准,递归的选取扩展属性,生成一棵树。
参考来源 - 集合划分上的模糊积分与ID3算法·2,447,543篇论文数据，部分数据来源于NoteExpress
Emphasizes questions of inductive learning and inference, and the representation of knowledge.
著重在归纳学习、推断及知识表现的问题探讨。
As system knowledge, the Part of Speech Transfer-Form can be obtained by inductive learning of training corpus.
然后通过对训练语料的归纳学习，获得作为系统知识的词性转移表。
In the paper, we make a new inductive learning approach to knowledge representation system based on rough set theory.
本文基于粗集理论，针对知识表达系统提出了一种新的归纳学习方法。
应用推荐