文件名称:libsvm-2.84
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；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。-LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature.
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下载文件列表
libsvm-2.84\a.txt
...........\a.txt.model
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\heart_scale.model
...........\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
...........\out
...........\output
...........\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
...........\....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.h
...........\svmtrain.exe
...........\tools\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows\python\svmc.pyd
...........\.......\SVMPREDICT.EXE
...........\.......\SVMSCALE.EXE
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe
...........\java\libsvm
...........\svm-toy\gtk
...........\.......\qt
...........\.......\windows
...........\windows\python
...........\java
...........\python
...........\svm-toy
...........\tools
...........\windows
libsvm-2.84
...........\a.txt.model
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\heart_scale.model
...........\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
...........\out
...........\output
...........\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
...........\....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.h
...........\svmtrain.exe
...........\tools\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows\python\svmc.pyd
...........\.......\SVMPREDICT.EXE
...........\.......\SVMSCALE.EXE
...........\.......\svmtoy.exe
...........\.......\svmtrain.exe
...........\java\libsvm
...........\svm-toy\gtk
...........\.......\qt
...........\.......\windows
...........\windows\python
...........\java
...........\python
...........\svm-toy
...........\tools
...........\windows
libsvm-2.84