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文件名称:liblinear-2.0
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- 上传时间：2017-10-17
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文件大小：400kb
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Libsvm和Liblinear都是国立台湾大学的Chih-Jen Lin博士开发的，Libsvm主要是用来进行非线性svm 分类器的生成，提出有一段时间了，而Liblinear则是去年才创建的，主要是应对large-scale的data classification，因为linear分类器的训练比非线性分类器的训练计算复杂度要低很多，时间也少很多，而且在large scale data上的性能和非线性的分类器性能相当，所以Liblinear是针对大数据而生的。(Libsvm and Liblinear are the national National Taiwan University's Dr. Lin Chih-Jen development, Libsvm is mainly used to generate nonlinear SVM classifier, is proposed for a long time, while Liblinear was created last year and it is mainly to deal with the large-scale data classification, for linear classifier training than nonlinear classifier training to computational complexity much less, a lot less time, and the performance of the classifier performance and nonlinear large scale data in the Liblinear, so for big data and health.)
相关搜索： liblinear-2.0
(系统自动生成,下载前可以参看下载内容)
下载文件列表
liblinear-2.0\blas\blas.h
liblinear-2.0\blas\blasp.h
liblinear-2.0\blas\daxpy.c
liblinear-2.0\blas\ddot.c
liblinear-2.0\blas\dnrm2.c
liblinear-2.0\blas\dscal.c
liblinear-2.0\blas\Makefile
liblinear-2.0\COPYRIGHT
liblinear-2.0\heart_scale
liblinear-2.0\linear.cpp
liblinear-2.0\linear.def
liblinear-2.0\linear.h
liblinear-2.0\Makefile
liblinear-2.0\Makefile.win
liblinear-2.0\matlab\libsvmread.c
liblinear-2.0\matlab\libsvmread.mexw64
liblinear-2.0\matlab\libsvmwrite.c
liblinear-2.0\matlab\libsvmwrite.mexw64
liblinear-2.0\matlab\linear_model_matlab.c
liblinear-2.0\matlab\linear_model_matlab.h
liblinear-2.0\matlab\make.m
liblinear-2.0\matlab\Makefile
liblinear-2.0\matlab\predict.c
liblinear-2.0\matlab\predict.mexw64
liblinear-2.0\matlab\README
liblinear-2.0\matlab\train.c
liblinear-2.0\matlab\train.mexw64
liblinear-2.0\predict.c
liblinear-2.0\python\liblinear.py
liblinear-2.0\python\liblinearutil.py
liblinear-2.0\python\Makefile
liblinear-2.0\python\README
liblinear-2.0\README
liblinear-2.0\train.c
liblinear-2.0\tron.cpp
liblinear-2.0\tron.h
liblinear-2.0\windows\liblinear.dll
liblinear-2.0\windows\libsvmread.mexw64
liblinear-2.0\windows\libsvmwrite.mexw64
liblinear-2.0\windows\predict.exe
liblinear-2.0\windows\predict.mexw64
liblinear-2.0\windows\train.exe
liblinear-2.0\windows\train.mexw64
liblinear-2.0\blas
liblinear-2.0\matlab
liblinear-2.0\python
liblinear-2.0\windows
liblinear-2.0
liblinear-2.0\blas\blasp.h
liblinear-2.0\blas\daxpy.c
liblinear-2.0\blas\ddot.c
liblinear-2.0\blas\dnrm2.c
liblinear-2.0\blas\dscal.c
liblinear-2.0\blas\Makefile
liblinear-2.0\COPYRIGHT
liblinear-2.0\heart_scale
liblinear-2.0\linear.cpp
liblinear-2.0\linear.def
liblinear-2.0\linear.h
liblinear-2.0\Makefile
liblinear-2.0\Makefile.win
liblinear-2.0\matlab\libsvmread.c
liblinear-2.0\matlab\libsvmread.mexw64
liblinear-2.0\matlab\libsvmwrite.c
liblinear-2.0\matlab\libsvmwrite.mexw64
liblinear-2.0\matlab\linear_model_matlab.c
liblinear-2.0\matlab\linear_model_matlab.h
liblinear-2.0\matlab\make.m
liblinear-2.0\matlab\Makefile
liblinear-2.0\matlab\predict.c
liblinear-2.0\matlab\predict.mexw64
liblinear-2.0\matlab\README
liblinear-2.0\matlab\train.c
liblinear-2.0\matlab\train.mexw64
liblinear-2.0\predict.c
liblinear-2.0\python\liblinear.py
liblinear-2.0\python\liblinearutil.py
liblinear-2.0\python\Makefile
liblinear-2.0\python\README
liblinear-2.0\README
liblinear-2.0\train.c
liblinear-2.0\tron.cpp
liblinear-2.0\tron.h
liblinear-2.0\windows\liblinear.dll
liblinear-2.0\windows\libsvmread.mexw64
liblinear-2.0\windows\libsvmwrite.mexw64
liblinear-2.0\windows\predict.exe
liblinear-2.0\windows\predict.mexw64
liblinear-2.0\windows\train.exe
liblinear-2.0\windows\train.mexw64
liblinear-2.0\blas
liblinear-2.0\matlab
liblinear-2.0\python
liblinear-2.0\windows
liblinear-2.0
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