文件名称:SVM-KM
- 所属分类：
- 数据挖掘
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2017-02-21
- 文件大小：
- 8.6mb
- 下载次数：
- 1次
- 提 供 者：
- zhuoz*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
支持向量机与核学习工具箱，用于数据挖掘中核方法开发的必备工具，如支持向量机、极限学习机等。-Support vector machine (SVM) and nuclear learning toolkit for nuclear method development of necessary tools in data mining, such as support vector machine (SVM), extreme learning machine, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SVM-KM\SVM and Kernel Methods Matlab toolbox.pdf
......\...-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
......\......\.egpath\exregpathoneclasssvm.asv
......\......\.......\exregpathoneclasssvm.m
......\......\.......\regpathsvmoneclass.m
......\......\.......\TransformPathFromNu.m
......\......\regsolve.m
......\......\rncalc.m
......\......\rnval.m
......\......\spanestimate.m
......\......\svmclass.m
......\......\svmclassL2.m
......\......\svmclassL2LS.m
......\......\svmclassLS.m
......\......\svmclassnpa.m
......\......\svmkernel.m
......\......\svmmulticlass.m
......\......\svmmulticlassoneagainstall.m
......\......\svmmulticlassoneagainstone.m