文件名称:libsvm-2.9
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [C/C++] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 655kb
- 下载次数：
- 0次
- 提 供 者：
- 颜*
- 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的训练的详细算法，包括如何读取特征函数，很详细-detailed algorithm for svm training, including how to read the characteristic function, it is more
(系统自动生成,下载前可以参看下载内容)
下载文件列表
libsvm-2.9\1.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\3
..........\......\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
..........\....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-toy.cpp
..........\svm-train.c
..........\svm.cpp
..........\svm.h
..........\tools\checkdata.py
..........\.....\easy.py
..........\.....\grid.py
..........\.....\README
..........\.....\subset.py
..........\windows\1.txt
..........\.......\11
..........\.......\2.txt
..........\.......\2p
..........\.......\3
..........\.......\3.model
..........\.......\3p
..........\.......\3pp
..........\.......\afvd
..........\.......\afvd.model
..........\.......\Predict.exe
..........\.......\python\svmc.pyd
..........\.......\svm-predict.exe
..........\.......\svm-scale.exe
..........\.......\svm-toy.exe
..........\.......\svm-train.exe
..........\.......\train.exe
..........\java\libsvm
..........\svm-toy\gtk
..........\.......\qt
..........\.......\windows
..........\windows\python
..........\java
..........\python
..........\svm-toy
..........\tools
..........\windows
libsvm-2.9
..........\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\3
..........\......\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
..........\....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-toy.cpp
..........\svm-train.c
..........\svm.cpp
..........\svm.h
..........\tools\checkdata.py
..........\.....\easy.py
..........\.....\grid.py
..........\.....\README
..........\.....\subset.py
..........\windows\1.txt
..........\.......\11
..........\.......\2.txt
..........\.......\2p
..........\.......\3
..........\.......\3.model
..........\.......\3p
..........\.......\3pp
..........\.......\afvd
..........\.......\afvd.model
..........\.......\Predict.exe
..........\.......\python\svmc.pyd
..........\.......\svm-predict.exe
..........\.......\svm-scale.exe
..........\.......\svm-toy.exe
..........\.......\svm-train.exe
..........\.......\train.exe
..........\java\libsvm
..........\svm-toy\gtk
..........\.......\qt
..........\.......\windows
..........\windows\python
..........\java
..........\python
..........\svm-toy
..........\tools
..........\windows
libsvm-2.9