Description: The LIBSVM Taiwan University Chih- Jen Lin associate development and design 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, and also provide the source codeconvenient improvements, modifications and applications on other operating systems the software adjust the parameters involved in SVM is relatively small, a lot of the default parameters, the use of these default parameters can solve a lot of problems provides cross-validation (Cross Validation) function. The software can solve the C-SVM, ν-SVM, ε-SVR and ν-SVR, including one-to-one algorithm multi-class pattern recognition problem
To Search:
File list (Check if you may need any files):
libsvm-3.12\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
...........\matlab\libsvmread.c
...........\......\libsvmwrite.c
...........\......\make.m
...........\......\Makefile
...........\......\README
...........\......\svmpredict.c
...........\......\svmtrain.c
...........\......\svm_model_matlab.c
...........\......\svm_model_matlab.h
...........\python\Makefile
...........\......\README
...........\......\svm.py
...........\......\svmutil.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.def
...........\svm.h
...........\tools\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows\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
...........\java\libsvm
...........\svm-toy\gtk
...........\.......\qt
...........\.......\windows
...........\java
...........\matlab
...........\python
...........\svm-toy
...........\tools
...........\windows
libsvm-3.12
Download