Description: SVM detailed examples (including classification, regression) and so on. Those who need it, download a try. More exchanges. Svm-smo I need the matlab source code. Who?
- [SMOLearn] - same classic by the SMO PLATT learning a
- [SVM111] - Beijing University on support vector mac
- [SVM-KM] - A very easy to understand svm matlab too
- [SVM-KM] - Kernel-based analysis of the many types
- [svm] - Classification and regression algorithm
- [MATLAB_svm_gui] - Support Vector Machines Matlab realize,
- [liuyuntao] - This is a compilation of their time lear
- [svm_regressive] - Based on support vector machine (SVM) re
- [svmsmo] - Support Vector Machines smo algorithm ma
- [Spline_interpolation] - Spline interpolation
File list (Check if you may need any files):
SVM-KM
......\AdaptScalSVM
......\............\costlbfixed.m
......\............\costlfixed.m
......\............\costwbfixed.m
......\............\costwfixed.m
......\............\ExampledemoAdaptScal.m
......\............\ExampleFeatSelAdaptScal.m
......\............\gradlbfixed.m
......\............\gradlfixed.m
......\............\gradwbfixed.m
......\............\gradwfixed.m
......\............\LagrangeUpdate.m
......\............\SigmaUpdate.m
......\............\svmfit.asv
......\............\svmfit.m
......\............\svmfitconj.m
......\contents.m
......\cout.m
......\dataset1.mat
......\dataset2.mat
......\dataset3.mat
......\datasets.m
......\featselreg
......\..........\exfeatselreg1.m
......\..........\FeatSelregalpha.m
......\..........\FeatSelregalphaGD.m
......\..........\FeatSelregalphaGDrandom.m
......\..........\FeatSelreglinearL1.m
......\..........\FeatSelregmargin.m
......\..........\FeatSelregmarginGD.m
......\..........\FeatSelregmarginGDrandom.m
......\..........\FeatSelregr2w2.m
......\..........\FeatSelregr2w2GD.m
......\..........\FeatSelregr2w2GDrandom.m
......\..........\FeatSelregspanbound.m
......\..........\FeatSelregspanboundGD.m
......\..........\FeatSelregspanboundGDrandom.m
......\..........\r2alpharegL2.m
......\..........\spanestimateregL2.m
......\FeatureSelection
......\................\featselcorrcoeff.m
......\................\featselkernelderivative.m
......\................\FeatSelmargdif.m
......\................\FeatSelmargdif1v1.m
......\................\FeatSelmargin.m
......\................\FeatSelr2w2.m
......\................\FeatSelr2w2diff.m
......\fileaccess.m
......\functioneval.m
......\gda.m
......\givrot.m
......\kbp
......\...\BuildTrapScale.m
......\...\calcdistance.m
......\...\CalcTrapScale.m
......\...\exlar.m
......\...\exlar1.m
......\...\exlarrealdata.m
......\...\exlarsignalclassif.m
......\...\exmultikernellarclass.m
......\...\HingeLAR.m
......\...\HingeLAR2.m
......\...\LAR.m
......\...\LARval.m
......\...\multiplekernel.m
......\...\normalizekernelLAR.m
......\...\plot2Ddec.m
......\...\pyrim.mat
......\...\testHingeLAR.m
......\kernelpca.m
......\kernelpcaproj.m
......\kernelset.m
......\libsvminterface
......\...............\mexSVMClass.dll
......\...............\mexSVMClass.mexglx
......\...............\mexSVMTrain.dll
......\...............\mexSVMTrain.mexglx
......\...............\svmclasslib.m
......\...............\svmvallib.m
......\license.txt
......\LPsvmclass.m
......\LPsvmreg.m
......\monqp.m
......\monqpCinfty.m
......\normalizekernel.m
......\phispan.m
......\r2smallestsphere.m
......\regpath
......\.......\exregpathoneclasssvm.asv
......\.......\exregpathoneclasssvm.m
......\.......\regpathsvmoneclass.m
......\.......\TransformPathFromNu.m
......\regsolve.m
......\rncalc.m
......\rnval.m
......\spanestimate.m
......\svmclass.m
......\svmclassL2.m
......\svmclassL2LS.m
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