文件名称:liblinear-1.9
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 342kb
- 下载次数：
- 0次
- 提 供 者：
- che****
- 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
最新版的liblinear代码，可以再windows和linux上使用，liblinear弥补了libsvm的不足，非常适合处理变量数较大的样本数据，由于没有采用内核算法，计算效率非常高！-The latest version of liblinear code can then windows and linux, liblinear compensate for the deficiencies of the libsvm, very suitable for handling large number of variables in a sample of data by not using the kernel algorithm, the computational efficiency is very high!
(系统自动生成,下载前可以参看下载内容)
下载文件列表
liblinear-1.9
.............\blas
.............\....\blasp.h
.............\....\dnrm2.c
.............\....\Makefile
.............\....\ddot.c
.............\....\dscal.c
.............\....\blas.h
.............\....\daxpy.c
.............\COPYRIGHT
.............\linear.h
.............\README
.............\Makefile.win
.............\train.c
.............\heart_scale
.............\tron.cpp
.............\Makefile
.............\linear.def
.............\windows
.............\.......\train.exe
.............\.......\predict.mexw64
.............\.......\train.mexw64
.............\.......\predict.exe
.............\.......\libsvmwrite.mexw64
.............\.......\libsvmread.mexw64
.............\.......\liblinear.dll
.............\linear.cpp
.............\predict.c
.............\tron.h
.............\python
.............\......\README
.............\......\liblinearutil.py
.............\......\Makefile
.............\......\liblinear.py
.............\matlab
.............\......\README
.............\......\linear_model_matlab.h
.............\......\train.c
.............\......\Makefile
.............\......\make.m
.............\......\libsvmread.c
.............\......\libsvmwrite.c
.............\......\predict.c
.............\......\run.m
.............\......\linear_model_matlab.c
.............\blas
.............\....\blasp.h
.............\....\dnrm2.c
.............\....\Makefile
.............\....\ddot.c
.............\....\dscal.c
.............\....\blas.h
.............\....\daxpy.c
.............\COPYRIGHT
.............\linear.h
.............\README
.............\Makefile.win
.............\train.c
.............\heart_scale
.............\tron.cpp
.............\Makefile
.............\linear.def
.............\windows
.............\.......\train.exe
.............\.......\predict.mexw64
.............\.......\train.mexw64
.............\.......\predict.exe
.............\.......\libsvmwrite.mexw64
.............\.......\libsvmread.mexw64
.............\.......\liblinear.dll
.............\linear.cpp
.............\predict.c
.............\tron.h
.............\python
.............\......\README
.............\......\liblinearutil.py
.............\......\Makefile
.............\......\liblinear.py
.............\matlab
.............\......\README
.............\......\linear_model_matlab.h
.............\......\train.c
.............\......\Makefile
.............\......\make.m
.............\......\libsvmread.c
.............\......\libsvmwrite.c
.............\......\predict.c
.............\......\run.m
.............\......\linear_model_matlab.c