文件名称:libsvm-master
- 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:
- 2015-01-16
- 文件大小:
- 619kb
- 下载次数:
- 0次
- 提 供 者:
- 郭*
- 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)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;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式识别问题。-a simple and easy-to-use support vector machines tool for classification (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR), and distribution estimation
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-master
.............\COPYRIGHT
.............\FAQ.html
.............\Makefile
.............\Makefile.win
.............\README
.............\heart_scale
.............\java
.............\....\Makefile
.............\....\libsvm.jar
.............\....\libsvm
.............\....\......\svm.java
.............\....\......\svm.m4
.............\....\......\svm_model.java
.............\....\......\svm_node.java
.............\....\......\svm_parameter.java
.............\....\......\svm_print_interface.java
.............\....\......\svm_problem.java
.............\....\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
.............\.......\libsvm.dll
.............\.......\libsvmread.mexw64
.............\.......\libsvmwrite.mexw64
.............\.......\svm-predict.exe
.............\.......\svm-scale.exe
.............\.......\svm-toy.exe
.............\.......\svm-train.exe
.............\.......\svmpredict.mexw64
.............\.......\svmtrain.mexw64