multi-class multiple kernel learning algorithm

multi_MKLGL\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
...........\AdaptScalSVM
...........\build_efficientK.m
...........\contents.m
...........\costsvmclass.m
...........\costsvmclassls.asv
...........\costsvmclassls.m
...........\costsvmoneagainstall.m
...........\costsvmoneagainstone.m
...........\costsvmreg.m
...........\cout.m
...........\CreateDataAppTest.m
...........\CreateKernelListWithVariable.m
...........\dataset1.mat
...........\dataset2.mat
...........\dataset3.mat
...........\datasets.m
...........\data_anlysis.asv
...........\data_anlysis.m
...........\devectorize.c
...........\devectorize.dll
...........\devectorize.mexglx
...........\devectorize_single.c
...........\devectorize_single.dll
...........\devectorize_single.mexglx
...........\exmklclass.asv
...........\exmklclass.m
...........\exmkllsdisk.m
...........\exmklmulticlass.asv
...........\exmklmulticlass.m
...........\exmklmulticlassrealdata.m
...........\exmklreg.asv
...........\exmklreg.m
...........\exmklvariationC.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
...........\featselreg
...........\FeatureSelection\featselcorrcoeff.m
...........\................\featselkernelderivative.m
...........\................\FeatSelmargdif.m
...........\................\FeatSelmargdif1v1.m
...........\................\FeatSelmargin.m
...........\................\FeatSelr2w2.m
...........\................\FeatSelr2w2diff.m
...........\FeatureSelection
...........\fileaccess.m
...........\functioneval.m
...........\gda.m
...........\givrot.m
...........\gradsubprob.m
...........\gradsvmclass.asv
...........\gradsvmclass.m
...........\gradsvmclassls.m
...........\gradsvmoneagainstall.m
...........\gradsvmoneagainstone.m
...........\gradsvmreg.m
...........\indiana_16.mat
...........\ionosphere.mat
...........\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

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