%0 Journal Article
%T Current Directions in Supervised Learning Research<br>监督学习的发展动态
%A JIANG Yan-Huang ZHOU Hai-Fang YANG Xue-Jun
%A <br>蒋艳凰
%A 周海芳
%A 杨学军
%J 计算机科学
%D 2003
%I 
%X Supervised learning is very important in machine learning area. It has been making great progress in many directions. This article summarizes three of these directions,which are the hot problems in supervised learning field. These three directions are (a) improving classification accuracy by learning ensembles of classifiers, (b) methods for scaling up supervised learning algorithm, (c) extracting understandable rules from classifiers.
%K Supervised learning
%K Ensembles of classifiers
%K Rule extracting<br>机器学习
%K 监督学习
%K 学习算法
%K 组合分类器
%K 决策树算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=A9A06DEDDE684C8A&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=DF92D298D3FF1E6E&sid=DF92D298D3FF1E6E&eid=708DD6B15D2464E8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=39