文件名称:libsvm-3.11
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 648kb
- 下载次数：
- 0次
- 提 供 者：
- 王*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
LIBSVM 是台湾大学林智仁(Lin Chih-Jen)副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-LIBSVM is National Taiwan University Lin ( Lin Chih-Jen ) Associate Professor and develop the design of a simple, easy to use and fast and effective SVM pattern recognition and regression of the package, he not only provides a compiled in Windows series system executable files, also provides the source code, to facilitate improved, as well as in other modifications operating system application
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-3.11
...........\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
...........\.......\heart_scale
...........\.......\libsvm.dll
...........\.......\output
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\test
...........\.......\train.model
...........\.......\新建文件夹
...........\.......\..........\libsvmread.mexw32
...........\.......\..........\libsvmread.mexw64
...........\.......\..........\libsvmwrite.mexw32
...........\.......\..........\libsvmwrite.mexw64
...........\.......\..........\svmpredict.mexw32
...........\.......\..........\svmpredict.mexw64
...........\.......\..........\svmtrain.mexw32
...........\.......\..........\svmtrain.mexw64
...........\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
...........\.......\heart_scale
...........\.......\libsvm.dll
...........\.......\output
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
...........\.......\test
...........\.......\train.model
...........\.......\新建文件夹
...........\.......\..........\libsvmread.mexw32
...........\.......\..........\libsvmread.mexw64
...........\.......\..........\libsvmwrite.mexw32
...........\.......\..........\libsvmwrite.mexw64
...........\.......\..........\svmpredict.mexw32
...........\.......\..........\svmpredict.mexw64
...........\.......\..........\svmtrain.mexw32
...........\.......\..........\svmtrain.mexw64