文件名称:LS-SVMlab1.5
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LMS 优化支持向量机 支持向量机方法是建立在统计学习理论的VC维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以求获得最好的推广能力 。-LMS Support Vector Machine optimization SVM method is based on the VC dimension theory and structural risk minimization principle on the basis of statistical learning theory, according to information in the limited sample complexity of the model (ie, the accuracy of a particular learning training samples) and learning ability (ie, error seek to identify any sample between the ability to) the best compromise, in order to obtain the best generalization ability.
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下载文件列表
LS-SVMlab1.5
............\AFE.m
............\MLP_kernel.m
............\RBF_kernel.m
............\bay_errorbar.m
............\bay_initlssvm.m
............\bay_lssvm.m
............\bay_lssvmARD.m
............\bay_modoutClass.m
............\bay_optimize.m
............\bay_rr.m
............\changelssvm.m
............\code.m
............\code_ECOC.m
............\code_MOC.m
............\code_OneVsAll.m
............\code_OneVsOne.m
............\codedist_bay.m
............\codedist_hamming.m
............\codedist_loss.m
............\codelssvm.m
............\crossvalidate.m
............\deltablssvm.m
............\demo_fixedclass.m
............\demo_fixedsize.m
............\demo_yinyang.m
............\democlass.m
............\demofun.m
............\demomodel.m
............\denoise_kpca.m
............\eign.m
............\gridsearch.m
............\initlssvm.asv
............\initlssvm.m
............\kentropy.m
............\kernel_matrix.m
............\kpca.m
............\latentlssvm.m
............\leaveoneout.m
............\leaveoneout_lssvm.m
............\lin_kernel.m
............\linesearch.m
............\linf.m
............\lssvm.dll
............\lssvm1024.dll
............\lssvm256.dll
............\lssvm64.dll
............\lssvmFILE.exe
............\lssvmFILE.m
............\lssvmFILE1024.exe
............\lssvmFILE256.exe
............\lssvmFILE64.exe
............\lssvmMATLAB.m
............\medae.m
............\misclass.m
............\mse.m
............\phitures.dll
............\plotlssvm.m
............\poly_kernel.m
............\postlssvm.m
............\predict.m
............\prelssvm.m
............\rcrossvalidate.m
............\ridgeregress.m
............\robustlssvm.m
............\roc.m
............\simFILE.exe
............\simFILE.m
............\simFILE1024.exe
............\simFILE256.exe
............\simFILE64.exe
............\simclssvm.dll
............\simclssvm1024.dll
............\simclssvm256.dll
............\simclssvm64.dll
............\simlssvm.asv
............\simlssvm.m
............\sparselssvm.m
............\trainlssvm.m
............\trimmedmse.m
............\tunelssvm.m
............\validate.m
............\windowize.m
............\windowizeNARX.m