Description: the algorithm of SVM,You can have a try.If you think this algorithm is good,you can contact with me.
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File list (Check if you may need any files):
libsvm-2.8
..........\COPYRIGHT
..........\FAQ.html
..........\heart_scale
..........\java
..........\....\libsvm
..........\....\......\svm.java
..........\....\......\svm.m4
..........\....\......\svm_model.java
..........\....\......\svm_node.java
..........\....\......\svm_parameter.java
..........\....\......\svm_problem.java
..........\....\libsvm.jar
..........\....\Makefile
..........\....\svm_predict.java
..........\....\svm_toy.java
..........\....\svm_train.java
..........\....\test_applet.html
..........\Makefile
..........\Makefile.win
..........\python
..........\......\cross_validation.py
..........\......\Makefile
..........\......\README
..........\......\svm.py
..........\......\svmc.i
..........\......\svmc_wrap.c
..........\......\svm_test.py
..........\......\test_cross_validation.py
..........\README
..........\svm-predict.c
..........\svm-scale.c
..........\svm-toy
..........\.......\gtk
..........\.......\...\callbacks.cpp
..........\.......\...\callbacks.h
..........\.......\...\interface.c
..........\.......\...\interface.h
..........\.......\...\main.c
..........\.......\...\Makefile
..........\.......\...\svm-toy.glade
..........\.......\qt
..........\.......\..\Makefile
..........\.......\..\svm-toy.cpp
..........\.......\windows
..........\.......\.......\svm-toy.cpp
..........\svm-train.c
..........\svm.cpp
..........\svm.h
..........\tools
..........\.....\easy.py
..........\.....\grid.py
..........\.....\README
..........\windows
..........\.......\python
..........\.......\......\svmc.dll
..........\.......\svmpredict.exe
..........\.......\svmscale.exe
..........\.......\svmtoy.exe
..........\.......\svmtrain.exe
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