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libsvm-3.1

  • Category : Mathimatics-Numerical algorithms
  • Tags :
  • Update : 2012-11-26
  • Size : 2.23mb
  • Downloaded :0次
  • Author :孙朔
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
SVM is a common pattern classification machine learning algorithm, known to high accuracy, high efficiency, libsvm and svmlight are two commonly used SVM implementations. This is Taiwan' s Lin Zhiren written a variety of languages
Packet file list
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libsvm-3.1
..........\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
..........\.......\data.txt
..........\.......\libsvm.dll
..........\.......\libsvmread.mexw32
..........\.......\libsvmread.mexw64
..........\.......\libsvmwrite.mexw32
..........\.......\libsvmwrite.mexw64
..........\.......\svm-predict.exe
..........\.......\svm-scale.exe
..........\.......\svm-toy.exe
..........\.......\svm-train.exe
..........\.......\svmpredict.mexw32
..........\.......\svmpredict.mexw64
..........\.......\svmtrain.mexw32
..........\.......\svmtrain.mexw64
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