文件名称:libsvm

  • 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:
  • 811kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • p***
  • 相关连接:
  • 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

支持向量机以统计学习理论作为坚实的理论依据,借助优化方法解决及其学习的一种新工

具.近年来,支持向量机受到人们的广泛关注,在理论研究和算法实现方面都有了很大的突

破,成为现代机器学习的热点课题.-Support vector machine(SVM)is a new approach that can solve machine learning

problem with optimization methods. In recent years,there has been a surge of interest in

SVM.It has achieved a prodigious progress in the theory research and algorithm

implement, thus has been an active research area in machine learning
(系统自动生成,下载前可以参看下载内容)

下载文件列表

libsvm\COPYRIGHT

......\heart_scale.mat

......\implement[by faruto]\a_template_flow_usingSVM_class.m

......\....................\a_template_flow_usingSVM_regress.m

......\....................\fasticaForSVM.m

......\....................\gaSVMcgForClass.m

......\....................\gaSVMcgForRegress.m

......\....................\gaSVMcgpForRegress.m

......\....................\myprivate\gatbx[Sheffield]\bs2rv.m

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

......\....................\.........\................\crtbase.m

......\....................\.........\................\crtbp.m

......\....................\.........\................\crtrp.m

......\....................\.........\................\migrate.m

......\....................\.........\................\mpga.m

......\....................\.........\................\mut.m

......\....................\.........\................\mutate.m

......\....................\.........\................\mutbga.m

......\....................\.........\................\ranking.m

......\....................\.........\................\recdis.m

......\....................\.........\................\recint.m

......\....................\.........\................\reclin.m

......\....................\.........\................\recmut.m

......\....................\.........\................\recombin.m

......\....................\.........\................\reins.m

......\....................\.........\................\rep.m

......\....................\.........\................\resplot.m

......\....................\.........\................\rws.m

......\....................\.........\................\scaling.m

......\....................\.........\................\select.m

......\....................\.........\................\sus.m

......\....................\.........\................\xovdp.m

......\....................\.........\................\xovdprs.m

......\....................\.........\................\xovmp.m

......\....................\.........\................\xovsh.m

......\....................\.........\................\xovshrs.m

......\....................\.........\................\xovsp.m

......\....................\.........\................\xovsprs.m

......\....................\.........\mapminmax.m

......\....................\.........\plotroc.m

......\....................\.........\roc.m

......\....................\pcaForSVM.m

......\....................\psoSVMcgForClass.m

......\....................\psoSVMcgForRegress.m

......\....................\readme[by faruto].txt

......\....................\scaleForSVM.m

......\....................\SVC.m

......\....................\SVC_test.m

......\....................\SVMcgForClass.m

......\....................\SVMcgForRegress.m

......\....................\svmplot.m

......\....................\SVR.m

......\....................\SVR_test.m

......\....................\test_for_ica_SVM.m

......\....................\TutorialForFarutoUltimate3.0.pdf

......\....................\TutorialTest.m

......\....................\VF.m

......\libsvm 参数说明.txt

......\libsvmread.c

......\libsvmread.mexw32

......\libsvmwrite.c

......\libsvmwrite.mexw32

......\LibSVM程序代码注释.pdf

......\make.m

......\Makefile

......\README

......\readme[by faruto].txt

......\svm.cpp

......\svm.h

......\svm.obj

......\svmpredict.c

......\svmpredict.mexw32

......\svmtrain.c

......\svmtrain.mexw32

......\svm_model_matlab.c

......\svm_model_matlab.h

......\svm_model_matlab.obj

......\test_data\wine_test.mat

......\.........\x123.mat

......\TutorialForFarutoUltimate3.0.pdf

......\implement[by faruto]\myprivate\gatbx[Sheffield]

......\....................\myprivate

......\....................\pcode

......\implement[by faruto]

......\test_data

libsvm

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org