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SVM_matlab_Code

于 2012-06-28 发布 文件大小:929KB
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代码说明:

  SVM很全的matlab代码和详细说明 以及调用SVM的函数 有例子(SVM most code and data)

文件列表:

SVM_matlab程序
..............\For Yγ
..............\.......\guide.pdf,197344,2008-10-17
..............\.......\libsvm-2.91
..............\.......\...........\htm" target=_blank>COPYRIGHT,1497,2010-03-18
..............\.......\...........\FAQ.html,68738,2010-04-01
..............\.......\...........\htm" target=_blank>heart_scale,27670,2003-07-12
..............\.......\...........\java
..............\.......\...........\....\libsvm
..............\.......\...........\....\......\svm.java,61918,2010-04-01
..............\.......\...........\....\......\svm.m4,61285,2010-03-18
..............\.......\...........\....\......\svm_model.java,664,2007-01-13
..............\.......\...........\....\......\svm_node.java,115,2003-10-11
..............\.......\...........\....\......\svm_parameter.java,1288,2006-03-03
..............\.......\...........\....\......\svm_print_interface.java,87,2009-02-18
..............\.......\...........\....\......\svm_problem.java,136,2003-10-11
..............\.......\...........\....\libsvm.jar,49771,2010-04-01
..............\.......\...........\....\Makefile,624,2009-02-18
..............\.......\...........\....\svm_predict.java,4267,2009-03-18
..............\.......\...........\....\svm_scale.java,8944,2009-02-20
..............\.......\...........\....\svm_toy.java,11435,2009-02-18
..............\.......\...........\....\svm_train.java,8268,2010-01-27
..............\.......\...........\....\test_applet.html,81,2003-07-12
..............\.......\...........\Makefile,528,2010-03-18
..............\.......\...........\Makefile.win,1083,2010-03-20
..............\.......\...........\python
..............\.......\...........\......\Makefile,59,2010-03-18
..............\.......\...........\......\htm" target=_blank>README,10689,2010-03-26
..............\.......\...........\......\svm.py,7670,2010-03-23
..............\.......\...........\......\svmutil.py,8078,2010-03-26
..............\.......\...........\python_old
..............\.......\...........\..........\cross_validation.py,1140,2004-03-24
..............\.......\...........\..........\Makefile,587,2009-09-16
..............\.......\...........\..........\htm" target=_blank>README,5948,2010-04-01
..............\.......\...........\..........\setup.py,607,2010-01-27
..............\.......\...........\..........\svm.py,8155,2010-01-15
..............\.......\...........\..........\svmc.i,2913,2010-01-26
..............\.......\...........\..........\svmc_wrap.c,179998,2010-01-26
..............\.......\...........\..........\svm_test.py,2110,2006-07-28
..............\.......\...........\..........\test_cross_validation.py,630,2003-07-12
..............\.......\...........\README.txt,23007,2010-03-19
..............\.......\...........\svm-predict.c,5285,2009-03-18
..............\.......\...........\svm-scale.c,7042,2009-03-16
..............\.......\...........\svm-toy
..............\.......\...........\.......\gtk
..............\.......\...........\.......\...\callbacks.cpp,9702,2006-03-04
..............\.......\...........\.......\...\callbacks.h,1765,2003-07-12
..............\.......\...........\.......\...\interface.c,6457,2003-07-12
..............\.......\...........\.......\...\interface.h,203,2003-07-12
..............\.......\...........\.......\...\main.c,398,2003-07-12
..............\.......\...........\.......\...\Makefile,530,2007-10-14
..............\.......\...........\.......\...\svm-toy.glade,6402,2003-07-12
..............\.......\...........\.......\qt
..............\.......\...........\.......\..\Makefile,367,2008-12-19
..............\.......\...........\.......\..\svm-toy.cpp,9133,2008-05-01
..............\.......\...........\.......\windows
..............\.......\...........\.......\.......\svm-toy.cpp,10787,2006-03-04
..............\.......\...........\svm-train.c,8706,2010-01-27
..............\.......\...........\svm.cpp,62732,2010-03-19
..............\.......\...........\svm.def,397,2010-03-20
..............\.......\...........\svm.h,2285,2010-03-19
..............\.......\...........\tools
..............\.......\...........\.....\checkdata.py,2368,2009-05-14
..............\.......\...........\.....\easy.py,2627,2009-05-14
..............\.......\...........\.....\grid.py,11400,2009-11-20
..............\.......\...........\.....\htm" target=_blank>README,4642,2008-03-09
..............\.......\...........\.....\subset.py,2987,2009-05-14
..............\.......\...........\windows
..............\.......\...........\.......\libsvm.dll,150016,2010-03-26
..............\.......\...........\.......\svm-predict.exe,109056,2010-03-26
..............\.......\...........\.......\svm-scale.exe,82432,2010-03-26
..............\.......\...........\.......\svm-toy.exe,144896,2010-03-26
..............\.......\...........\.......\svm-train.exe,137728,2010-03-26
..............\.......\libsvm-mat-2.91-1
..............\.......\.................\COPYRIGHT.txt,1497,2010-03-19
..............\.......\.................\heart_scale.mat,28904,2009-12-31
..............\.......\.................\libsvmread.c,3823,2009-12-31
..............\.......\.................\libsvmread.mexw32,8704,2010-04-08
..............\.......\.................\libsvmwrite.c,2123,2009-12-31
..............\.......\.................\libsvmwrite.mexw32,8192,2010-04-08
..............\.......\.................\make.m,273,2009-12-31
..............\.......\.................\Makefile.txt,1462,2009-12-31
..............\.......\.................\README.txt,11135,2010-09-09
..............\.......\.................\svm.cpp,61965,2010-04-08
..............\.......\.................\svm.h,3036,2010-04-08
..............\.......\.................\svmpredict.c,9050,2009-12-31
..............\.......\.................\svmpredict.mexw32,20992,2010-04-08
..............\.......\.................\svmtrain.c,11254,2010-01-27
..............\.......\.................\svmtrain.mexw32,49664,2010-04-08
..............\.......\.................\svm_model_matlab.c,7684,2009-12-31
..............\.......\.................\svm_model_matlab.h,201,2009-12-31
..............\.......\Welcome to Chih-Jen Lin's Home Page.htm,6896,2010-09-08
..............\.......\Welcome to Chih-Jen Lin's Home Page_files
..............\.......\.........................................\new.gif

..............\.......\备注.txt,605,2012-04-28
..............\.......\毕设程序
..............\.......\........\classifyaccuracy.m,694,2010-10-12
..............\.......\........\clpsoSVM.m,4030,2011-05-12
..............\.......\........\confusionm.m,106,2011-04-21

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    积分:1
  • OFDM
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    积分:1
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    2013-07-10 17:28:27下载
    积分:1
  • my1
    参数a,b,n对r=acos(nt+b)的影响,观察菜单和图形的变化,体会相应的程序控制逻辑(The parameters a, b, n r = acos (nt+b) the impact of observed changes in the menu and graphics, the experience of the corresponding program control logic)
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    2010-01-12 19:39:11下载
    积分:1
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    2011-12-30 16:05:29下载
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    用经典的pca k邻域方法估计点云法向量的程序,带有matlab gui,使用matlab 2016b编译运行成功,输入点云最好为列向量的txt文件,gui中内置了点云显示模块以及生成的点云法向量显示,并且可以输出法向量到txt文件中。(The program of estimating point cloud vector with the classical PCA K neighborhood method, with Matlab GUI, uses MATLAB 2016b to compile and run successfully, the input point cloud is the best column vector TXT file, the point cloud display module and the generated point cloud vector display in GUI are built in Gui, and the normal vector can be output to the txt file.)
    2020-10-15 22:47:30下载
    积分:1
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    均匀量化和非均匀量化在性能上存在着显著的差异,这种差异可以用信号通过量化器后的量躁比来反映出来。本程序用曲线表示了理论和实际两个方面下两种量化的量躁比。从而可观察他们的性能上的差别。(There are significant differences with the function between Uniform quantization and non-uniform quantization ,which can be quantified by SNR from the quantizer.This program use the curves to denote the SNR of theory and practical signal.Then we can observe the performance of the differences.)
    2009-11-10 15:55:41下载
    积分:1
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    低通滤波器让某一频率以下的信号分量通过,而对该频率以上的信号分量大大抑制的电容、电感与电阻等器件的组合装置。 (low-pass filter )
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    open loop boost converter using ramp input
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