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文件名称:svm-km.rar

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    2012-09-04
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支持向量机(SVM)是数据挖掘中的一个新方法,能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题,并可推广于预测和综合评价等领域,因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化(Tikhonov Regularization)方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.
,Support vector machine, the source code
(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/contents.asv
svm-km/contents.m
svm-km/cout.m
svm-km/dataset.asv
svm-km/dataset.m
svm-km/dataset1.mat
svm-km/dataset2.mat
svm-km/dataset3.mat
svm-km/fileaccess.m
svm-km/functioneval.m
svm-km/gda.asv
svm-km/gda.m
svm-km/givrot.asv
svm-km/givrot.m
svm-km/hs_err_pid11468.log
svm-km/hs_err_pid3800.log
svm-km/hs_err_pid5512.log
svm-km/kernelpca.asv
svm-km/kernelpca.m
svm-km/kernelpcaproj.asv
svm-km/kernelpcaproj.m
svm-km/kernelset.m
svm-km/license.txt
svm-km/LPsvmclass.asv
svm-km/LPsvmclass.m
svm-km/LPsvmreg.m
svm-km/monqp.m
svm-km/monqpCinfty.m
svm-km/normalizekernel.m
svm-km/phispan.m
svm-km/r2smallestsphere.asv
svm-km/r2smallestsphere.m
svm-km/regsolve.m
svm-km/rncalc.m
svm-km/rnval.m
svm-km/spanestimate.m
svm-km/SVM-KM.zip
svm-km/svmclass.m
svm-km/svmclassL2.m
svm-km/svmclassL2LS.m
svm-km/svmclassLS.asv
svm-km/svmclassLS.m
svm-km/svmclassnpa.m
svm-km/svmkernel.m
svm-km/svmmulticlass.m
svm-km/svmmulticlassoneagainstall.asv
svm-km/svmmulticlassoneagainstall.m
svm-km/svmmulticlassoneagainstone.asv
svm-km/svmmulticlassoneagainstone.m
svm-km/svmmultival.m
svm-km/svmmultivaloneagainstone.m
svm-km/svmnuclass.m
svm-km/svmnureg.m
svm-km/svmoneclass.asv
svm-km/svmoneclass.m
svm-km/svmoneclassval.m
svm-km/svmreg.m
svm-km/svmregL2.m
svm-km/svmregLS.m
svm-km/svmval.m
svm-km/tensorwavkernel.m
svm-km/waveletfunction.m
svm-km/waveletspan.m
svm-km/svmfit.m
svm-km/exmulticlass2.m
svm-km/exmulticlass1.m
svm-km/exmulticlasssvc.m
svm-km/exmulticlassall.m
svm-km/exmulticlassall2.m
svm-km/exclass.m
svm-km/exclass4.m
svm-km/exclass1.m
svm-km/exclass2.m
svm-km/exclass3.m
svm-km/normalizemeanstd.m
svm-km/Fsvm.m
svm-km/Fsvm.asv
svm-km/Untitled.m
svm-km/exmulticlass.asv
svm-km/Untitled.asv
svm-km/gauseidel.m
svm-km/gauseidel.asv
svm-km/svmmulticlass.asv
svm-km/svmAB.m
svm-km/svmmultival.asv
svm-km/svmAB.asv
svm-km/exmulticlassall.asv
svm-km/guz.xls
svm-km/exmulticlass.m
svm-km/wine.xls
svm-km/waveletkernelmultires/backfitting.m
svm-km/waveletkernelmultires/backfittingval.m
svm-km/waveletkernelmultires/CreateMultiLevelKernel.m
svm-km/waveletkernelmultires/exrealframetest.m
svm-km/waveletkernelmultires/exsimulframetest.m
svm-km/waveletkernelmultires/makesignalnus.m
svm-km/waveletkernelmultires/TestWaveletKernel.m
svm-km/utilities/ConfusionMatrix.m
svm-km/utilities/CreateCVrealdata.m
svm-km/utilities/CreateCVtoy.m
svm-km/utilities/CreateDataAppTest.m
svm-km/utilities/CreateDataAppTestReg.m
svm-km/utilities/DataGrid2D.m
svm-km/utilities/kernelknn.m
svm-km/utilities/knn.m
svm-km/utilities/lambdawilks.m
svm-km/utilities/mwustat.m
svm-km/utilities/nfcv.m
svm-km/utilities/nfcvreg.m
svm-km/utilities/normalizeinterval.m
svm-km/utilities/normalizemeanstd.asv
svm-km/utilities/normalizemeanstd.m
svm-km/utilities/wstat.m
svm-km/utilities/.svn/dir-wcprops
svm-km/utilities/.svn/empty-file
svm-km/utilities/.svn/entries
svm-km/utilities/.svn/format
svm-km/utilities/.svn/README.txt
svm-km/svmroc/contents.m
svm-km/svmroc/OLDsvmroccurve.m
svm-km/svmroc/rankboostAUC.m
svm-km/svmroc/rankboostAUCOLD.m
svm-km/svmroc/rankboostAUCval.m
svm-km/svmroc/rankroccurve.m
svm-km/svmroc/svmroc.m
svm-km/svmroc/svmrocCS.m
svm-km/svmroc/svmroccurve.m
svm-km/svmroc/svmrocval.m
svm-km/regpath/exregpathoneclasssvm.asv
svm-km/regpath/exregpathoneclasssvm.m
svm-km/regpath/regpathsvmoneclass.m
svm-km/regpath/TransformPathFromNu.m
svm-km/libsvminterface/mexSVMClass.dll
svm-km/libsvminterface/mexSVMClass.mexglx
svm-km/libsvminterface/mexSVMTrain.dll
svm-km/libsvminterface/mexSVMTrain.mexglx
svm-km/libsvminterface/svmclasslib.m
svm-km/libsvminterface/svmvallib.m
svm-km/kbp/BuildTrapScale.m
svm-km/kbp/calcdistance.asv
svm-km/kbp/calcdistance.m
svm-km/kbp/CalcTrapScale.asv
svm-km/kbp/CalcTrapScale.m
svm-km/kbp/exlar.m
svm-km/kbp/exlar1.m
svm-km/kbp/exlarrealdata.m
svm-km/kbp/exlarsignalclassif.m
svm-km/kbp/exmultikernellarclass.m
svm-km/kbp/HingeLAR.m
svm-km/kbp/HingeLAR2.m
svm-km/kbp/LAR.m
svm-km/kbp/LARval.m
svm-km/kbp/multiplekernel.m
svm-km/kbp/normalizekernelLAR.m
svm-km/kbp/plot2Ddec.m
svm-km/kbp/pyrim.mat
svm-km/kbp/testHingeLAR.m
svm-km/FeatureSelection/featselcorrcoeff.m
svm-km/FeatureSelection/featselkernelderivative.m
svm-km/FeatureSelection/FeatSelmargdif.m
svm-km/FeatureSelection/FeatSelmargdif1v1.m
svm-km/FeatureSelection/FeatSelmargin.m
svm-km/FeatureSelection/FeatSelr2w2.m
svm-km/FeatureSelection/FeatSelr2w2diff.m
svm-km/featselreg/exfeatselreg1.m
svm-km/featselreg/FeatSelregalpha.m
svm-km/featselreg/FeatSelregalphaGD.m
svm-km/featselreg/FeatSelregalphaGDrandom.m
svm-km/featselreg/FeatSelreglinearL1.m
svm-km/featselreg/FeatSelregmargin.m
svm-km/featselreg/FeatSelregmarginGD.m
svm-km/featselreg/FeatSelregmarginGDrandom.m
svm-km/featselreg/FeatSelregr2w2.m
svm-km/featselreg/FeatSelregr2w2GD.m
svm-km/featselreg/FeatSelregr2w2GDrandom.m
svm-km/featselreg/FeatSelregspanbound.m
svm-km/featselreg/FeatSelregspanboundGD.m
svm-km/featselreg/FeatSelregspanboundGDrandom.m
svm-km/featselreg/hs_err_pid12796.log
svm-km/featselreg/r2alpharegL2.m
svm-km/featselreg/spanestimateregL2.m
svm-km/AdaptScalSVM/content.asv
svm-km/AdaptScalSVM/content.m
svm-km/AdaptScalSVM/costlbfixed.m
svm-km/AdaptScalSVM

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