代码搜索：classification

找到约 3,679 项符合「classification」的源代码

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www.eeworm.com/read/445573/7593048

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % SVM Regression: % svm = svmTrain('svr_epsilon',x,y,ker,C,e); % 输入参数: % X 训练样本,n
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www.eeworm.com/read/398934/7908751

m fenleiqi.m

function [x y]=fenleiqi(traindata,testdata1) [n N]=size(traindata); [a1 a2]=Classification(traindata(:,N));%找到类变量分类的范围 [traindata A B]=guiyihua(traindata); H1=[];H2=[];H3=[]; for i=1:n if tr
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www.eeworm.com/read/330716/12874017

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/243453/12940057

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/329419/12955704

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/319383/13452829

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/309822/13664161

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/225283/14545775

m svmtrain.m

function svm = svmTrain(svmType,X,Y,ker,p1,p2) % SVM Classification: % svm = svmTrain('svc_c',x,y,ker,C); % svm = svmTrain('svc_nu',x,y,ker,nu); % % One-Class SVM: % svm = svmTrain('svm_one_cl
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www.eeworm.com/read/367675/2833050

txt 10.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: Ask for your suggestion (About SVM) 发信站: 南京大学小百合站 (Fri Jun 14 23:39:32 2002), 站内信件 I have little background knowledge in classification and none in SVM
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www.eeworm.com/read/367675/2837039

txt 70.txt

发信人: fervvac (高远), 信区: DataMining 标 题: Re: Ask for your suggestion (About SVM) 发信站: 南京大学小百合站 (Fri Jun 14 23:39:32 2002), 站内信件 I have little background knowledge in classification and none in SVM
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