%0 Journal Article
%T Dynamic Selection and Circulating Combination for Multiple Classifier Systems<br>分类器的动态选择与循环集成方法
%A HAO Hong-Wei
%A WANG Zhi-Bin
%A YIN Xu-Cheng
%A CHEN Zhi-Qiang
%A <br>郝红卫
%A 王志彬
%A 殷绪成
%A 陈志强
%J 自动化学报
%D 2011
%I 
%X In order to deal with the problems of low efficiency and inflexibility for selecting the optimal subset and combining classifiers in multiple classifier systems, a new method of dynamic selection and circulating combination (DSCC) is proposed. This method dynamically selects the optimal subset with high accuracy for combination based on the complementarity of different classification models. The number of classifiers in the selected subset can be adaptively changed according to the complexity of the objects. Circulating combination is realized according to the confidence of classifiers. The experimental results of handwritten digit recognition show that the proposed method is more flexible, efficient and accurate comparing to other classifier selection methods.
%K Multiple classifier systems
%K dynamic selection
%K circulating combination
%K complementarity factor<br>多分类器系统
%K 动态选择
%K 循环集成
%K 互补指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=B3C7018AFD6E56398D21BC879B4BBEF8&yid=9377ED8094509821&vid=42425781F0B1C26E&iid=708DD6B15D2464E8&sid=646D2C4F03762FE5&eid=73839ECFB80A3712&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=21