文件名称:libsvm
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-02-02
- 文件大小：
- 371kb
- 下载次数：
- 0次
- 提 供 者：
- cha***
- 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
支持向量机用于模式识别和机器学习领域，本文件提供了libsvm的源代码，使用者可以读算法深入研究-This document provides the source code of Support Vector Machine(SVM) in matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm\addpathstart.m
......\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.asv
......\....................\SVR_test.m
......\....................\test_for_ica_SVM.m
......\....................\TutorialForFarutoUltimate3.0.pdf
......\....................\TutorialTest.m
......\....................\VF.m
......\....................\x123.mat
......\libsvm 参数说明.txt
......\libsvmread.c
......\libsvmread.mexw32
......\libsvmwrite.c
......\libsvmwrite.mexw32
......\make.m
......\Makefile
......\MEgrid.m
......\README
......\readme[by faruto].txt
......\roctest.m
......\svm.cpp
......\svm.h
......\svm.obj
......\svmpredict.c
......\svmpredict.mexw32
......\SVMRFE.m
......\svmtrain.c
......\svmtrain.mexw32
......\svm_model_matlab.c
......\svm_model_matlab.h
......\svm_model_matlab.obj
......\test_data\wine_test.mat
......\.........\x123.mat
......\tttroc.m
......\Untitled.m
......\implement[by faruto]\myprivate\gatbx[Sheffield]
......\....................\myprivate
......\....................\pcode
......\implement[by faruto]
......\test_data
libsvm