%0 Journal Article
%T Study of selective ensemble algorithm based on classification problems<br>基于分类问题的选择性集成学习研究*
%A CHEN Kai
%A <br>陈凯
%J 计算机应用研究
%D 2009
%I 
%X This paper introduced a new ensemble algorithm,SEC-AdaBoostBagging Trees ensemble algorithm,which was a combination of tree classifiers and was based on variational similarity cluster technology and greedy method,and it was also combined with the features of AdaBoost.M1 and Bagging. Compared with a series of other learning algorithms,it often has better generalization ability and higher efficiency.
%K CART
%K bootstrap
%K selective ensemble<br>分类回归树
%K 自助法
%K 选择性集成
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=B46560213F6E06DE1693B8BC4818FE9D&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=3E72ADB579DCDDB1&eid=8F9A6804D20BC127&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9