LSSVM 1.6工具箱

上传者: onlymemory | 上传时间: 2021-04-21 15:57:20 | 文件大小: 102KB | 文件类型: ZIP
用于Matlab的svm工具箱,1.6版本

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<span style='color:#111;'> 5.86KB </span>","children":null,"spread":false},{"title":"democlass.m <span style='color:#111;'> 3.38KB </span>","children":null,"spread":false},{"title":"prelssvm.m <span style='color:#111;'> 6.37KB </span>","children":null,"spread":false},{"title":"codedist_loss.m <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"lssvmMATLAB.m <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"ridgeregress.m <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"bay_optimize.m <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"roc.m <span style='color:#111;'> 7.32KB </span>","children":null,"spread":false},{"title":"codedist_bay.m <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"codedist_hamming.m <span style='color:#111;'> 774B </span>","children":null,"spread":false},{"title":"crossvalidatelssvm.m <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"postlssvm.m <span style='color:#111;'> 4.89KB </span>","children":null,"spread":false},{"title":"MLP_kernel.m <span style='color:#111;'> 627B </span>","children":null,"spread":false},{"title":"kernel_matrix2.m <span style='color:#111;'> 578B </span>","children":null,"spread":false},{"title":"trainlssvm.m <span style='color:#111;'> 8.53KB </span>","children":null,"spread":false},{"title":"kentropy.m <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"denoise_kpca.m <span style='color:#111;'> 3.51KB </span>","children":null,"spread":false},{"title":"misclass.m <span style='color:#111;'> 712B </span>","children":null,"spread":false},{"title":"codelssvm.m <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"ripley.mat <span style='color:#111;'> 4.00KB </span>","children":null,"spread":false},{"title":"AFEm.m <span style='color:#111;'> 3.36KB </span>","children":null,"spread":false},{"title":"changelssvm.m <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"RBF_kernel.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"lin_kernel.m <span style='color:#111;'> 531B </span>","children":null,"spread":false},{"title":"code_MOC.m <span style='color:#111;'> 565B </span>","children":null,"spread":false},{"title":"leaveoneoutlssvm.m <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"deltablssvm.m <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"medae.m <span style='color:#111;'> 321B </span>","children":null,"spread":false},{"title":"kernel_matrix.m <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"simlssvm.m <span style='color:#111;'> 6.05KB </span>","children":null,"spread":false},{"title":"linf.m <span style='color:#111;'> 323B </span>","children":null,"spread":false},{"title":"range.m <span style='color:#111;'> 173B </span>","children":null,"spread":false},{"title":"poly_kernel.m <span style='color:#111;'> 623B </span>","children":null,"spread":false},{"title":"gcrossvalidatelssvm.m <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"kpca.m <span style='color:#111;'> 5.99KB </span>","children":null,"spread":false},{"title":"demofun.m <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"code_ECOC.m <span style='color:#111;'> 5.25KB </span>","children":null,"spread":false},{"title":"weightingscheme.m <span style='color:#111;'> 940B </span>","children":null,"spread":false},{"title":"demo_yinyang.m <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"code_OneVsOne.m <span style='color:#111;'> 576B </span>","children":null,"spread":false},{"title":"latentlssvm.m <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"leaveoneout.m <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"bay_initlssvm.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"tunelssvm.m <span style='color:#111;'> 10.55KB </span>","children":null,"spread":false},{"title":"rcrossvalidatelssvm.m <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":"bay_lssvm.m <span style='color:#111;'> 10.42KB </span>","children":null,"spread":false},{"title":"code.m <span style='color:#111;'> 4.27KB </span>","children":null,"spread":false},{"title":"bay_rr.m <span style='color:#111;'> 4.30KB </span>","children":null,"spread":false},{"title":"sparselssvm.m <span style='color:#111;'> 3.45KB </span>","children":null,"spread":false},{"title":"demomulticlass.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"demo_fixedsize.m <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false},{"title":"demo_fixedclass.m <span style='color:#111;'> 2.20KB </span>","children":null,"spread":false},{"title":"bay_errorbar.m <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false},{"title":"eign.m <span style='color:#111;'> 3.70KB </span>","children":null,"spread":false},{"title":"code_OneVsAll.m <span style='color:#111;'> 396B </span>","children":null,"spread":false},{"title":"lssvm.m <span style='color:#111;'> 2.59KB </span>","children":null,"spread":false},{"title":"windowize.m <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"bay_modoutClass.m <span style='color:#111;'> 9.38KB </span>","children":null,"spread":false},{"title":"linesearch.m <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"plotlssvm.m <span style='color:#111;'> 9.75KB </span>","children":null,"spread":false},{"title":"bay_lssvmARD.m <span style='color:#111;'> 8.21KB </span>","children":null,"spread":false},{"title":"crossvalidate.m <span style='color:#111;'> 5.18KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

  • hq84184666 :
    挺不错的,很实用
    2015-11-30
  • XZgreat :
    写得比较规范,可以用,谢谢分享
    2015-09-07
  • Charleyphen :
    挺不错的,有很多函数
    2014-08-01
  • felicity1989 :
    不过 函数很全
    2014-07-12
  • shiyancui :
    用处非常大
    2013-11-08
  • yerensenlin :
    LS-SVM现在主页上最新出到1.8版本了,不过之前版本的程序看看也不错
    2013-08-30
  • sweetbaobei :
    很实用,最小二乘支持向量机方法写得较规范
    2013-06-24
  • andy_suran :
    和Lssvm实验室的一样www.esat.kuleuven.ac.be/sista/lssvmlab/,但是没有install_windows.m安装文件
    2012-10-12
  • only59520 :
    包含的函数比较全了~只不过对于我这种新手来说 理解起来有点困难 需要慢慢研究
    2012-05-24
  • conquerwave :
    还比较全,常用的基本函数都有了。
    2011-11-21

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