详细说明：支持向量机SVM和核函数的MATLAB程序集

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 相关搜索: 核函数 支持向量机 svm 核函数 核函数 svm svm matlab matlab程序 svm matlab程序 支持向量 matlab svm的matlab程序 matlab 支持向量机 

 [svmcls.rar] - 基于svm的文本分类算法，有自己的语料库
 [winsvm.rar] - 实现svm的分类可以选择SVM类型，核函数类型，以及训练参数
 [Class_Cover_PSO_FNN.rar] - 基于类覆盖算法和粒子群优化的神经网络解决模式分类问题
 
 [ams-svm.rar] - 支持向量机多参数自动选择优化程序！机器学习，数据挖掘工具！matlab版！
 [LS-svmlab1.5aw.rar] - 最小二乘支持向量机的matlab工具包，包括源程序和使用说明
 [svm2.rar] - 我翻译的《A Tutorial on Support Vector Machines for Pattern Recognition》，学习支持向量机的入门资料
 [regression.rar] - 支持向量机的SMO算法实现数据拟合训练的基本程序，用c++编写．
 [支持向量机的研究现状与进展.rar] - 支持向量机的研究现状与进展，很好的综合论文
 [svmfenlei.rar] - 经典的支持向量机svm用于分类的matlab程序,可用于辨识,分类和参数优化!

文件列表(点击判断是否您需要的文件):
  SVM-KMExample
  .............\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
  .............\exclass.m
  .............\exclass1.m
  .............\exclass2.m
  .............\exclass3.m
  .............\exclass4.m
  .............\exclassalphainit.m
  .............\exclasscheckershaarkernel.m
  .............\exclasscheckershaarkernel2.m
  .............\exclassL2LS.m
  .............\exclasslibsvm.m
  .............\exclasslibsvmrealdata.m
  .............\exclassls.m
  .............\exclassnpa.m
  .............\exclassrn.m
  .............\exclassrn1.m
  .............\exkernelset.m
  .............\exLPreg1d.m
  .............\exmulticlass.m
  .............\exmulticlass1.m
  .............\exmulticlass1v1.m
  .............\exmulticlass2.m
  .............\exmulticlassall.m
  .............\exmulticlassall2.m
  .............\exnlrlpsvm.m
  .............\exnuclass1.m
  .............\exoneclasssvm.m
  .............\exr2smallestsphere.m
  .............\exrankboost.m
  .............\exrankboost1.m
  .............\exreg1d.m
  .............\exreg1dls.m
  .............\exreg2d.m
  .............\exregrn.m
  .............\exroccurve.m
  .............\exroccurvemodelsel.m
  .............\exsvmroc1.m
  .............\exsvmroc2.m
  .............\extensorwavkernel.m
  .............\FeatSelAdaptScal.m
  .............\FeatSelAdaptScal1.m
  .............\featSelExample.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
  .............\..........\spanestimateregL2.m
  .............\FeatureSelection
  .............\................\featselcorrcoeff.m
  .............\................\featselkernelderivative.m
  .............\................\FeatSelmargdif.m
  .............\................\FeatSelmargdif1v1.m
  .............\................\FeatSelmargin.m
  .............\................\FeatSelr2w2.m
  .............\................\FeatSelr2w2diff.m
  .............\fileaccess.m
  .............\functioneval.m
  .............\gda.m
  ... ...