文件名称:libsvm
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [Windows] [Visual C] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 736kb
- 下载次数：
- 0次
- 提 供 者：
- De-Chu*******
- 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
SVM是一种常用的模式分类机器学习算法，以效率高准确度高闻名于世，libsvm和svmlight是常用的两种SVM实现方法。-SVM is a commonly used pattern classification machine learning algorithm, to high accuracy and efficient world-famous, libsvm and svmlight is commonly used to achieve the two SVM methods.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm
......\COPYRIGHT
......\Debug
......\FAQ.html
......\heart_scale
......\java
......\....\libsvm
......\....\......\svm.java
......\....\......\svm.m4
......\....\......\svm_model.java
......\....\......\svm_node.java
......\....\......\svm_parameter.java
......\....\......\svm_problem.java
......\....\libsvm.jar
......\....\Makefile
......\....\svm_predict.java
......\....\svm_toy.java
......\....\svm_train.java
......\....\test_applet.html
......\Makefile
......\Makefile.win
......\python
......\......\cross_validation.py
......\......\Makefile
......\......\README
......\......\svm.py
......\......\svmc.i
......\......\svmc_wrap.c
......\......\svm_test.py
......\......\test_cross_validation.py
......\README
......\svm-predict.c
......\svm-scale.c
......\svm-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.dsp
......\svm.dsw
......\svm.h
......\svm.ncb
......\svm.opt
......\svm.plg
......\tools
......\.....\easy.py
......\.....\grid.py
......\.....\README
......\.....\subset.py
......\windows
......\.......\python
......\.......\......\svmc.dll
......\.......\svmpredict.exe
......\.......\svmscale.exe
......\.......\svmtoy.exe
......\.......\svmtrain.exe
......\COPYRIGHT
......\Debug
......\FAQ.html
......\heart_scale
......\java
......\....\libsvm
......\....\......\svm.java
......\....\......\svm.m4
......\....\......\svm_model.java
......\....\......\svm_node.java
......\....\......\svm_parameter.java
......\....\......\svm_problem.java
......\....\libsvm.jar
......\....\Makefile
......\....\svm_predict.java
......\....\svm_toy.java
......\....\svm_train.java
......\....\test_applet.html
......\Makefile
......\Makefile.win
......\python
......\......\cross_validation.py
......\......\Makefile
......\......\README
......\......\svm.py
......\......\svmc.i
......\......\svmc_wrap.c
......\......\svm_test.py
......\......\test_cross_validation.py
......\README
......\svm-predict.c
......\svm-scale.c
......\svm-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.dsp
......\svm.dsw
......\svm.h
......\svm.ncb
......\svm.opt
......\svm.plg
......\tools
......\.....\easy.py
......\.....\grid.py
......\.....\README
......\.....\subset.py
......\windows
......\.......\python
......\.......\......\svmc.dll
......\.......\svmpredict.exe
......\.......\svmscale.exe
......\.......\svmtoy.exe
......\.......\svmtrain.exe