%0 Journal Article
%T Improved SVM algorithm application on cancer diagnoses<br>一种改进的支持向量机及其在癌症诊断中的应用
%A WANG Jing
%A Wei Jin-mao
%A <br>王晶
%A 卫金茂
%J 计算机应用
%D 2006
%I 
%X In order to improve the generalization ability,an improved SVM: SUB-SVM was presented.First,the SVM was initially trained by all the training samples,thereby producing a number of main support vectors.Second,the SVM were re-trained only by the main support vectors,thereby producing a number of sub-support vectors.Nonlinear SVM classifier which was constructed by sub-support vectors was employed to breast cancer disease diagnoses.Higher recognition rate was obtained in the prediction.
%K support vector machine
%K main support vector
%K sub-support vectors
%K kernel function<br>支持向量机
%K 主支持向量
%K 次支持向量
%K 核函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=E708A34556C65387&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=37F781FD8E744761&eid=B3C74F542FB6AB65&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5