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文件名称:SVM_SteveGunn.向量机的基本理论
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支持向量机的基本理论是从二类分类问题提出的，常用的核函数有：多项式、径向基、Sigmoid型。对于同一组数据选择不同的核函数，基本上都可以得到相近的训练效果。,Support vector machine' s basic theory is the question of second-class classification, commonly used kernel functions include: polynomial, radial basis, Sigmoid type. For the same set of data to select a different kernel function, can be basically similar to the results of training.
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下载文件列表
SVM_SteveGunn/binomial.m
SVM_SteveGunn/centrefig.m
SVM_SteveGunn/cmap.mat
SVM_SteveGunn/Contents.m
SVM_SteveGunn/Examples/Classification/iris1v23.mat
SVM_SteveGunn/Examples/Classification/iris2v13.mat
SVM_SteveGunn/Examples/Classification/iris3v12.mat
SVM_SteveGunn/Examples/Classification/linsep.mat
SVM_SteveGunn/Examples/Classification/nlinsep.mat
SVM_SteveGunn/Examples/Regression/example.mat
SVM_SteveGunn/Examples/Regression/sinc.mat
SVM_SteveGunn/Examples/Regression/titanium.mat
SVM_SteveGunn/nobias.m
SVM_SteveGunn/Optimiser/Makefile
SVM_SteveGunn/Optimiser/pr_loqo.c
SVM_SteveGunn/Optimiser/pr_loqo.h
SVM_SteveGunn/Optimiser/qp.c
SVM_SteveGunn/Optimiser/qp.dll
SVM_SteveGunn/qp.dll
SVM_SteveGunn/README
SVM_SteveGunn/README.txt
SVM_SteveGunn/softmargin.m
SVM_SteveGunn/svc.m
SVM_SteveGunn/svcerror.m
SVM_SteveGunn/svcinfo.m
SVM_SteveGunn/svcoutput.m
SVM_SteveGunn/svcplot.m
SVM_SteveGunn/svdatanorm.m
SVM_SteveGunn/svkernel.m
SVM_SteveGunn/svr.asv
SVM_SteveGunn/svr.m
SVM_SteveGunn/svrerror.m
SVM_SteveGunn/svroutput.m
SVM_SteveGunn/svrplot.m
SVM_SteveGunn/svtol.m
SVM_SteveGunn/uiclass.m
SVM_SteveGunn/uiclass.mat
SVM_SteveGunn/uiregress.m
SVM_SteveGunn/uiregress.mat
SVM_SteveGunn/Examples/Classification
SVM_SteveGunn/Examples/Regression
SVM_SteveGunn/Examples
SVM_SteveGunn/Optimiser
SVM_SteveGunn
SVM_SteveGunn/centrefig.m
SVM_SteveGunn/cmap.mat
SVM_SteveGunn/Contents.m
SVM_SteveGunn/Examples/Classification/iris1v23.mat
SVM_SteveGunn/Examples/Classification/iris2v13.mat
SVM_SteveGunn/Examples/Classification/iris3v12.mat
SVM_SteveGunn/Examples/Classification/linsep.mat
SVM_SteveGunn/Examples/Classification/nlinsep.mat
SVM_SteveGunn/Examples/Regression/example.mat
SVM_SteveGunn/Examples/Regression/sinc.mat
SVM_SteveGunn/Examples/Regression/titanium.mat
SVM_SteveGunn/nobias.m
SVM_SteveGunn/Optimiser/Makefile
SVM_SteveGunn/Optimiser/pr_loqo.c
SVM_SteveGunn/Optimiser/pr_loqo.h
SVM_SteveGunn/Optimiser/qp.c
SVM_SteveGunn/Optimiser/qp.dll
SVM_SteveGunn/qp.dll
SVM_SteveGunn/README
SVM_SteveGunn/README.txt
SVM_SteveGunn/softmargin.m
SVM_SteveGunn/svc.m
SVM_SteveGunn/svcerror.m
SVM_SteveGunn/svcinfo.m
SVM_SteveGunn/svcoutput.m
SVM_SteveGunn/svcplot.m
SVM_SteveGunn/svdatanorm.m
SVM_SteveGunn/svkernel.m
SVM_SteveGunn/svr.asv
SVM_SteveGunn/svr.m
SVM_SteveGunn/svrerror.m
SVM_SteveGunn/svroutput.m
SVM_SteveGunn/svrplot.m
SVM_SteveGunn/svtol.m
SVM_SteveGunn/uiclass.m
SVM_SteveGunn/uiclass.mat
SVM_SteveGunn/uiregress.m
SVM_SteveGunn/uiregress.mat
SVM_SteveGunn/Examples/Classification
SVM_SteveGunn/Examples/Regression
SVM_SteveGunn/Examples
SVM_SteveGunn/Optimiser
SVM_SteveGunn
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