Description: The LIBSVM Is Taiwan University Chih- Jen Lin (Lin Chih-Jen) Associate Professor of the development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression package, he not only compiled perform file system in the Windows series also provides source code to facilitate the improvement modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, use these default parameters can solve a lot of problems and provide cross-validation (Cross Validation) function. The package can http://www.csie.ntu.edu.tw/ ~ cjlin/free access. The software can solve the problem of the C-SVM, ν-SVM, ε-SVR and ν-SVR, including the multi-class pattern recognition problem based on a one-to-one algorithm
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libsvm-2.9\COPYRIGHT
..........\FAQ.html
..........\heart_scale
..........\java\libsvm\svm.java
..........\....\......\svm.m4
..........\....\......\svm_model.java
..........\....\......\svm_node.java
..........\....\......\svm_parameter.java
..........\....\......\svm_print_interface.java
..........\....\......\svm_problem.java
..........\....\libsvm.jar
..........\....\Makefile
..........\....\svm_predict.java
..........\....\svm_scale.java
..........\....\svm_toy.java
..........\....\svm_train.java
..........\....\test_applet.html
..........\Makefile
..........\Makefile.win
..........\python\cross_validation.py
..........\......\Makefile
..........\......\README
..........\......\setup.py
..........\......\svm.py
..........\......\svmc.i
..........\......\svmc_wrap.c
..........\......\svm_test.py
..........\......\test_cross_validation.py
..........\README
..........\svm-predict.c
..........\svm-scale.c
..........\....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\checkdata.py
..........\.....\easy.py
..........\.....\grid.py
..........\.....\README
..........\.....\subset.py
..........\windows\python\svmc.pyd
..........\.......\svm-predict.exe
..........\.......\svm-scale.exe
..........\.......\svm-toy.exe
..........\.......\svm-train.exe
..........\使用方法\LIBSVM使用方法.pdf
..........\........\如何使用.txt
..........\java\libsvm
..........\svm-toy\gtk
..........\.......\qt
..........\.......\windows
..........\windows\python
..........\java
..........\python
..........\svm-toy
..........\tools
..........\windows
..........\使用方法
libsvm-2.9
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