文件名称:libsvm-3.17
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-LIBSVM is Taiwan university professor Lin (Lin Chih- Jen) and so on to develop a simple, easy to use and fast effective SVM pattern recognition and regression of package
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-3.17\libsvm-3.17\COPYRIGHT
...........\...........\covtype.txt
...........\...........\covtype_test.txt
...........\...........\FAQ.html
...........\...........\heart_scale
...........\...........\heart_scale.mat
...........\...........\java\libsvm\svm.java
...........\...........\....\......\svm.m4
...........\...........\....\......\svm_model.java
...........\...........\....\......\svm_node.java
...........\...........\....\......\svm_parameter.java
...........\...........\....\......\svm_print_interface.java
...........\...........\....\......\svm_problem.java
...........\...........\....\libsvm.jar
...........\...........\....\Makefile
...........\...........\....\svm_predict.java
...........\...........\....\svm_scale.java
...........\...........\....\svm_toy.java
...........\...........\....\svm_train.java
...........\...........\....\test_applet.html
...........\...........\Makefile
...........\...........\Makefile.win
...........\...........\matlab\libsvmread.c
...........\...........\......\libsvmread.mexw32
...........\...........\......\libsvmwrite.c
...........\...........\......\libsvmwrite.mexw32
...........\...........\......\make.m
...........\...........\......\Makefile
...........\...........\......\README
...........\...........\......\svmpredict.c
...........\...........\......\svmpredict.mexw32
...........\...........\......\svmtrain.c
...........\...........\......\svmtrain.mexw32
...........\...........\......\svm_model_matlab.c
...........\...........\......\svm_model_matlab.h
...........\...........\python\Makefile
...........\...........\......\README
...........\...........\......\svm.py
...........\...........\......\svmutil.py
...........\...........\README
...........\...........\svm-predict.c
...........\...........\svm-scale.c
...........\...........\....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.def
...........\...........\svm.h
...........\...........\tools\checkdata.py
...........\...........\.....\easy.py
...........\...........\.....\grid.py
...........\...........\.....\README
...........\...........\.....\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
...........\...........\java\libsvm
...........\...........\svm-toy\gtk
...........\...........\.......\qt
...........\...........\.......\windows
...........\...........\java
...........\...........\matlab
...........\...........\python
...........\...........\svm-toy
...........\...........\tools
...........\...........\windows
...........\libsvm-3.17
libsvm-3.17