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SVM_classfication_could_use

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  • Update : 2014-12-28
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Svm classfication program which could run fluently without boring small bugs.
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A1_SVM分类程序\AFEm.m
..............\bay_errorbar.m
..............\bay_initlssvm.m
..............\bay_lssvm.m
..............\bay_lssvmARD.m
..............\bay_modoutClass.m
..............\bay_optimize.m
..............\bay_rr.m
..............\bootsp.m
..............\bootstrap.m
..............\changelssvm.m
..............\cilssvm.m
..............\code.m
..............\codedist_bay.m
..............\codedist_hamming.m
..............\codedist_loss.m
..............\codelssvm.m
..............\code_ECOC.m
..............\code_MOC.m
..............\code_OneVsAll.m
..............\code_OneVsOne.m
..............\comp.m
..............\crossvalidate.m
..............\crossvalidatelssvm.m
..............\csa.m
..............\data1.txt
..............\democlass.m
..............\democonfint.m
..............\demofun.m
..............\demomodel.m
..............\demomulticlass.m
..............\demo_fixedclass.m
..............\demo_fixedsize.m
..............\demo_yinyang.m
..............\denoise_kpca.m
..............\eign.m
..............\gcrossvalidate.m
..............\gcrossvalidatelssvm.m
..............\gridsearch.m
..............\initlssvm.m
..............\kentropy.m
..............\kernel_matrix.m
..............\kernel_matrix2.m
..............\kpca.m
..............\latentlssvm.m
..............\leaveoneout.m
..............\leaveoneoutlssvm.m
..............\linesearch.m
..............\linf.m
..............\lin_kernel.m
..............\lssvm.m
..............\lssvmMATLAB.m
..............\mean_acc.mat
..............\mean_time.mat
..............\MeasureError.m
..............\medae.m
..............\misclass.m
..............\MLP_kernel.m
..............\mse.m
..............\plotlssvm.m
..............\poly_kernel.m
..............\postlssvm.m
..............\predict.m
..............\predlssvm.m
..............\preimage_rbf.m
..............\prelssvm.m
..............\progress.m
..............\range.m
..............\RBF_kernel.m
..............\rcrossvalidate.m
..............\rcrossvalidatelssvm.m
..............\ridgeregress.m
..............\ripley.mat
..............\robustlssvm.m
..............\roc.m
..............\rsimplex.m
..............\sample.m
..............\simann.m
..............\simlssvm.m
..............\simplex.m
..............\smootherlssvm.m
..............\tbform.m
..............\test.data
..............\test1.m
..............\test2.m
..............\test3.m
..............\train.data
..............\trainlssvm.m
..............\tri.m
..............\trimmedmse.m
..............\tunelssvm.m
..............\usps_t1.m
..............\weightingscheme.m
..............\windowize.m
..............\windowizeNARX.m
..............\wine.data
..............\wpbc.data
..............\wpbc.names
..............\wpbc.txt
A1_SVM分类程序
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