%0 Journal Article
%T A New Inductive Learning Algorithm--Separability-Based Inductive Learning Algorithm<br>一种新的归纳学习算法——基于特征可分性的归纳学习算法
%A Wang Zhengou
%A Lin YAN
%A <br>王正欧
%A 林燕
%J 自动化学报
%D 1993
%I 
%X A new separability-based inductive learning algorithm is proposed in this paper. The algorithm is different from existing inductive learning algorithms. Starting directly from the separability of features for different classes, building a separability criterion, then forming a decision tree, the algorithm can classify multiclass concepts. The algorithm is intuitive, simple, and convenient for computation. Its effectineness is illustrated by an example in this paper.
%K Induotive learning
%K feature
%K separability criterion
%K decision tree<br>归纳学习
%K 特征
%K 可分性
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=A6A8FCDCE8EAEF9D5A8FBBF3EFFF465F&yid=D418FDC97F7C2EBA&vid=2A8D03AD8076A2E3&iid=38B194292C032A66&sid=A5B34D9E8FDA439A&eid=717CC18E05F2AFA0&journal_id=0254-4156&journal_name=自动化学报&referenced_num=2&reference_num=0