文件名称:libsvm-3.22
介绍说明－－下载内容均来自于网络，请自行研究使用
libsvm3-22 svm库
比较新。用起来很好。
LIBSVM是台湾大学林智仁(LinChih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用。-libsvm3-22 svm repository relatively new. Use them well. LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (LinChih-Jen) development and design professor, he not only provided a compiled executable file in the Windows series system, also it provides the source code for easy modifications, adaptations and applications in other operating systems.
比较新。用起来很好。
LIBSVM是台湾大学林智仁(LinChih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用。-libsvm3-22 svm repository relatively new. Use them well. LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (LinChih-Jen) development and design professor, he not only provided a compiled executable file in the Windows series system, also it provides the source code for easy modifications, adaptations and applications in other operating systems.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-3.22
...........\COPYRIGHT
...........\svm-predict.c
...........\svm.cpp
...........\README
...........\Makefile.win
...........\svm.h
...........\heart_scale
...........\java
...........\....\svm_toy.java
...........\....\svm_scale.java
...........\....\libsvm
...........\....\......\svm_model.java
...........\....\......\svm.m4
...........\....\......\svm_problem.java
...........\....\......\svm.java
...........\....\......\svm_node.java
...........\....\......\svm_parameter.java
...........\....\......\svm_print_interface.java
...........\....\svm_train.java
...........\....\Makefile
...........\....\test_applet.html
...........\....\libsvm.jar
...........\....\svm_predict.java
...........\Makefile
...........\windows
...........\.......\svm-toy.exe
...........\.......\svm-scale.exe
...........\.......\svmtrain.mexw64
...........\.......\libsvmwrite.mexw64
...........\.......\libsvm.dll
...........\.......\svm-predict.exe
...........\.......\svmpredict.mexw64
...........\.......\libsvmread.mexw64
...........\.......\svm-train.exe
...........\FAQ.html
...........\tools
...........\.....\README
...........\.....\checkdata.py
...........\.....\grid.py
...........\.....\easy.py
...........\.....\subset.py
...........\svm-scale.c
...........\svm-train.c
...........\svm.def
...........\svm-toy
...........\.......\qt
...........\.......\..\Makefile
...........\.......\..\svm-toy.cpp
...........\.......\windows
...........\.......\.......\svm-toy.cpp
...........\.......\gtk
...........\.......\...\callbacks.cpp
...........\.......\...\interface.c
...........\.......\...\interface.h
...........\.......\...\Makefile
...........\.......\...\main.c
...........\.......\...\svm-toy.glade
...........\.......\...\callbacks.h
...........\python
...........\......\README
...........\......\Makefile
...........\......\svm.py
...........\......\svmutil.py
...........\matlab
...........\......\README
...........\......\svmpredict.c
...........\......\Makefile
...........\......\make.m
...........\......\svmtrain.c
...........\......\libsvmread.c
...........\......\libsvmwrite.c
...........\......\svm_model_matlab.h
...........\......\svm_model_matlab.c