文件名称:SVM_lusifa

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2017-03-09
  • 文件大小:
  • 9.14mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 王**
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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用于求解支持向量机的二分类问题,对于现实问题进行预测分类-For solving SVM binary classification problem, for reality to predict classification
(系统自动生成,下载前可以参看下载内容)

下载文件列表





SVM_luzhenbo

............\Classification_SVM_SteveGunn.m

............\Classification_SVM_SteveGunn_1.m

............\Classification_stprtool.m

............\Classification_stprtool_1.m

............\LS_SVMlab

............\.........\1.txt

............\.........\2.txt

............\.........\3.txt

............\.........\AFE.m

............\.........\AFE_1.m

............\.........\Classifacation_fourfaults.m

............\.........\Classifacation_fourfaults_1.m

............\.........\Classification_LS_SVMlab.asv

............\.........\Classification_LS_SVMlab.m

............\.........\Classification_LS_SVMlab2.asv

............\.........\Classification_LS_SVMlab_1.m

............\.........\Classification_fourfaults_4000_6000.m

............\.........\Classification_fourfaults_4000_6000_1.m

............\.........\Contents.m

............\.........\Contents_1.m

............\.........\LS-SVMlab Toolbox User's Guide.pdf

............\.........\LS-SVMlab Toolbox User's Guide_1.pdf

............\.........\MLP_kernel.m

............\.........\MLP_kernel_1.m

............\.........\RBF_kernel.m

............\.........\RBF_kernel_1.m

............\.........\bay_errorbar.m

............\.........\bay_errorbar_1.m

............\.........\bay_initlssvm.m

............\.........\bay_initlssvm_1.m

............\.........\bay_lssvm.m

............\.........\bay_lssvmARD.m

............\.........\bay_lssvmARD_1.m

............\.........\bay_lssvm_1.m

............\.........\bay_modoutClass.m

............\.........\bay_modoutClass_1.m

............\.........\bay_optimize.m

............\.........\bay_optimize_1.m

............\.........\bay_rr.m

............\.........\bay_rr_1.m

............\.........\buffer.mc

............\.........\buffer_1.mc

............\.........\changelssvm.m

............\.........\changelssvm_1.m

............\.........\code.m

............\.........\code_1.m

............\.........\code_ECOC.m

............\.........\code_ECOC_1.m

............\.........\code_MOC.m

............\.........\code_MOC_1.m

............\.........\code_OneVsAll.m

............\.........\code_OneVsAll_1.m

............\.........\code_OneVsOne.m

............\.........\code_OneVsOne_1.m

............\.........\codedist_bay.m

............\.........\codedist_bay_1.m

............\.........\codedist_hamming.m

............\.........\codedist_hamming_1.m

............\.........\codedist_loss.m

............\.........\codedist_loss_1.m

............\.........\codelssvm.m

............\.........\codelssvm_1.m

............\.........\crossvalidate.m

............\.........\crossvalidate_1.m

............\.........\deltablssvm.m

............\.........\deltablssvm_1.m

............\.........\demo_fixedclass.m

............\.........\demo_fixedclass_1.m

............\.........\demo_fixedsize.m

............\.........\demo_fixedsize_1.m

............\.........\demo_yinyang.m

............\.........\demo_yinyang_1.m

............\.........\democlass.m

............\.........\democlass_1.m

............\.........\demofun.m

............\.........\demofun_1.m

............\.........\demomodel.m

............\.........\demomodel_1.m

............\.........\denoise_kpca.m

............\.........\denoise_kpca_1.m

............\.........\eign.m

............\.........\eign_1.m

............\.........\gridsearch.m

............\.........\gridsearch_1.m

............\.........\initlssvm.m

............\.........\initlssvm_1.m

............\.........\kentropy.m

............\.........\kentropy_1.m

............\.........\kernel_matrix.m

............\.........\kernel_matrix_1.m

............\.........\kpca.m

............\.........\kpca_1.m

............\.........\latentlssvm.m

............\.........\latentlssvm_1.m

............\.........\leaveoneout.m

............\.........\leaveoneout_1.m

............\.........\leaveoneout_lssvm.m

............\.........\leaveoneout_lssvm_1.m

............\.........\lin_kernel.m

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