文件名称:SVM-KM

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 4.21mb
  • 下载次数:
  • 0次
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  • 夏**
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基于MATLAB平台的 KM-SVM算法源码-Kernel Methods for Pattern Analysism based on matlab
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Kernel Methods for Pattern Analysis\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.m

...................................\......\............\svmfitconj.m

...................................\......\contents.m

...................................\......\cout.m

...................................\......\dataset.asv

...................................\......\dataset.m

...................................\......\dataset1.mat

...................................\......\dataset2.mat

...................................\......\dataset3.mat

...................................\......\FeatureSelection\featselcorrcoeff.m

...................................\......\................\featselkernelderivative.asv

...................................\......\................\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

...................................\......\...\LAR.m

...................................\......\...\LARval.m

...................................\......\...\multiplekernel.m

...................................\......\...\normalizekernelLAR.m

...................................\......\...\pyrim.mat

...................................\......\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

.

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