文件名称:libsvm-2.89
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(Chih-Jen Lin)博士等开发设计的一个操作简单、易于使用、快速有效的通用SVM 软件包,可以解决分类问题(包括C- SVC、n - SVC )、回归问题(包括e - SVR、n - SVR )以及分布估计(one-class-SVM )等问题,提供了线性、多项式、径向基和S形函数四种常用的核函数供选择,可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。
2.89版本是09年刚更新的一个版本。-LIBSVM
2.89版本是09年刚更新的一个版本。-LIBSVM
相关搜索: SVM
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matlab
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2
89
libsvm-mat
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核函数
libsvm
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one
class
svm
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matlab
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2
89
libsvm-mat
matlab
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svm
matlab
核函数
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下载文件列表
libsvm-2.89
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\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
...........\python
...........\......\cross_validation.py
...........\......\Makefile
...........\......\README
...........\......\setup.py
...........\......\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.h
...........\tools
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows
...........\.......\python
...........\.......\......\svmc.pyd
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
libsvm-2.89说明.txt
...........\COPYRIGHT
...........\FAQ.html
...........\heart_scale
...........\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
...........\python
...........\......\cross_validation.py
...........\......\Makefile
...........\......\README
...........\......\setup.py
...........\......\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.h
...........\tools
...........\.....\checkdata.py
...........\.....\easy.py
...........\.....\grid.py
...........\.....\README
...........\.....\subset.py
...........\windows
...........\.......\python
...........\.......\......\svmc.pyd
...........\.......\svm-predict.exe
...........\.......\svm-scale.exe
...........\.......\svm-toy.exe
...........\.......\svm-train.exe
libsvm-2.89说明.txt