文件名称:multi_MKLGL

  • 所属分类:
  • 数学计算/工程计算
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-05-04
  • 文件大小:
  • 3.22mb
  • 下载次数:
  • 1次
  • 提 供 者:
  • A*
  • 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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multi-class multiple kernel learning algorithm
(系统自动生成,下载前可以参看下载内容)

下载文件列表





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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