Description: LIBSVM National Taiwan University Lin Zhiren (Lin Chih-Jen) is a simple, easy to use SVM pattern recognition and regression and effective software development and design Professor package, he not only provides the compiled in Windows series system executable file, also provides the source code, easy to modify and improve, in other operating system. The application of the software; parameters involved in the regulation of SVM is relatively small, with a lot of the default parameters, these default parameters can solve many problems; and provides interactive test (Cross Validation) function. This software can solve the problem of C-SVM, V -SVM, e -SVR and V -SVR, which is based on a multi class pattern recognition algorithm on a problem.
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libsvm-3.22\COPYRIGHT
libsvm-3.22\FAQ.html
libsvm-3.22\heart_scale
libsvm-3.22\java\libsvm\svm.java
libsvm-3.22\java\libsvm\svm.m4
libsvm-3.22\java\libsvm\svm_model.java
libsvm-3.22\java\libsvm\svm_node.java
libsvm-3.22\java\libsvm\svm_parameter.java
libsvm-3.22\java\libsvm\svm_print_interface.java
libsvm-3.22\java\libsvm\svm_problem.java
libsvm-3.22\java\libsvm.jar
libsvm-3.22\java\Makefile
libsvm-3.22\java\svm_predict.java
libsvm-3.22\java\svm_scale.java
libsvm-3.22\java\svm_toy.java
libsvm-3.22\java\svm_train.java
libsvm-3.22\java\test_applet.html
libsvm-3.22\Makefile
libsvm-3.22\Makefile.win
libsvm-3.22\matlab\libsvmread.c
libsvm-3.22\matlab\libsvmwrite.c
libsvm-3.22\matlab\make.m
libsvm-3.22\matlab\Makefile
libsvm-3.22\matlab\README
libsvm-3.22\matlab\svmpredict.c
libsvm-3.22\matlab\svmtrain.c
libsvm-3.22\matlab\svm_model_matlab.c
libsvm-3.22\matlab\svm_model_matlab.h
libsvm-3.22\python\Makefile
libsvm-3.22\python\README
libsvm-3.22\python\svm.py
libsvm-3.22\python\svmutil.py
libsvm-3.22\README
libsvm-3.22\svm-predict.c
libsvm-3.22\svm-scale.c
libsvm-3.22\svm-toy\gtk\callbacks.cpp
libsvm-3.22\svm-toy\gtk\callbacks.h
libsvm-3.22\svm-toy\gtk\interface.c
libsvm-3.22\svm-toy\gtk\interface.h
libsvm-3.22\svm-toy\gtk\main.c
libsvm-3.22\svm-toy\gtk\Makefile
libsvm-3.22\svm-toy\gtk\svm-toy.glade
libsvm-3.22\svm-toy\qt\Makefile
libsvm-3.22\svm-toy\qt\svm-toy.cpp
libsvm-3.22\svm-toy\windows\svm-toy.cpp
libsvm-3.22\svm-train.c
libsvm-3.22\svm.cpp
libsvm-3.22\svm.def
libsvm-3.22\svm.h
libsvm-3.22\tools\checkdata.py
libsvm-3.22\tools\easy.py
libsvm-3.22\tools\grid.py
libsvm-3.22\tools\README
libsvm-3.22\tools\subset.py
libsvm-3.22\windows\libsvm.dll
libsvm-3.22\windows\libsvmread.mexw64
libsvm-3.22\windows\libsvmwrite.mexw64
libsvm-3.22\windows\svm-predict.exe
libsvm-3.22\windows\svm-scale.exe
libsvm-3.22\windows\svm-toy.exe
libsvm-3.22\windows\svm-train.exe
libsvm-3.22\windows\svmpredict.mexw64
libsvm-3.22\windows\svmtrain.mexw64
libsvm-3.22\java\libsvm
libsvm-3.22\svm-toy\gtk
libsvm-3.22\svm-toy\qt
libsvm-3.22\svm-toy\windows
libsvm-3.22\java
libsvm-3.22\matlab
libsvm-3.22\python
libsvm-3.22\svm-toy
libsvm-3.22\tools
libsvm-3.22\windows
libsvm-3.22
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