LIBSVM is National Taiwan University Lin ( Lin Chih-Jen ) Associate Professor and develop the design of a simple, easy to use and fast and effective SVM pattern recognition and regression of the package, he not only provides a compiled in Windows series system executable files, also provides the source code, to facilitate improved, as well as in other modifications operating system application

libsvm-3.11
...........\COPYRIGHT
...........\FAQ.html
...........\Makefile
...........\Makefile.win
...........\README
...........\heart_scale
...........\java
...........\....\Makefile
...........\....\libsvm
...........\....\......\svm.java
...........\....\......\svm.m4
...........\....\......\svm_model.java
...........\....\......\svm_node.java
...........\....\......\svm_parameter.java
...........\....\......\svm_print_interface.java
...........\....\......\svm_problem.java
...........\....\libsvm.jar
...........\....\svm_predict.java
...........\....\svm_scale.java
...........\....\svm_toy.java
...........\....\svm_train.java
...........\....\test_applet.html
...........\matlab
...........\......\Makefile
...........\......\README
...........\......\libsvmread.c
...........\......\libsvmwrite.c
...........\......\make.m
...........\......\svm_model_matlab.c
...........\......\svm_model_matlab.h
...........\......\svmpredict.c
...........\......\svmtrain.c
...........\python
...........\......\Makefile
...........\......\README
...........\......\svm.py
...........\......\svmutil.py
...........\svm-predict.c
...........\svm-scale.c
...........\svm-toy
...........\.......\gtk
...........\.......\...\Makefile
...........\.......\...\callbacks.cpp
...........\.......\...\callbacks.h
...........\.......\...\interface.c
...........\.......\...\interface.h
...........\.......\...\main.c
...........\.......\...\svm-toy.glade
...........\.......\qt
...........\.......\..\Makefile
...........\.......\..\svm-toy.cpp
...........\.......\windows
...........\.......\.......\svm-toy.cpp
...........\svm-train.c
...........\svm.cpp
...........\svm.def
...........\svm.h
...........\tools
...........\.....\README
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\subset.py
...........\windows
...........\.......\heart_scale
...........\.......\libsvm.dll
...........\.......\output
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\test
...........\.......\train.model
...........\.......\新建文件夹
...........\.......\..........\libsvmread.mexw32
...........\.......\..........\libsvmread.mexw64
...........\.......\..........\libsvmwrite.mexw32
...........\.......\..........\libsvmwrite.mexw64
...........\.......\..........\svmpredict.mexw32
...........\.......\..........\svmpredict.mexw64
...........\.......\..........\svmtrain.mexw32
...........\.......\..........\svmtrain.mexw64

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