文件名称:libsvm-3.22
介绍说明--下载内容来自于网络,使用问题请自行百度
LIBSVM是台湾大学林智仁(Lin Chih-Jen)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,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式识别问题。(LIBSVM National Taiwan University Lin Zhiren (Lin Chih-Jen) is a simple, easy to use SVM pattern recognition and regression and effective software development and design Professor package, he not only provides the compiled in Windows series system executable file, also provides the source code, easy to modify and improve, in other operating system. The application of the software; parameters involved in the regulation of SVM is relatively small, with a lot of the default parameters, these default parameters can solve many problems; and provides interactive test (Cross Validation) function. This software can solve the problem of C-SVM, V -SVM, e -SVR and V -SVR, which is based on a multi class pattern recognition algorithm on a problem.)
相关搜索: LibSVM
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
libsvm-3.22\COPYRIGHT | 1497 | 2016-12-22 |
libsvm-3.22\FAQ.html | 83089 | 2016-12-22 |
libsvm-3.22\heart_scale | 24022 | 2018-01-04 |
libsvm-3.22\heart_scale.mat | 28904 | 2005-03-22 |
libsvm-3.22\java\libsvm\svm.java | 64242 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm.m4 | 63439 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm_model.java | 868 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm_node.java | 115 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm_parameter.java | 1288 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm_print_interface.java | 87 | 2016-12-22 |
libsvm-3.22\java\libsvm\svm_problem.java | 136 | 2016-12-22 |
libsvm-3.22\java\libsvm.jar | 55185 | 2016-12-22 |
libsvm-3.22\java\Makefile | 659 | 2016-12-22 |
libsvm-3.22\java\svm_predict.java | 4950 | 2016-12-22 |
libsvm-3.22\java\svm_scale.java | 8944 | 2016-12-22 |
libsvm-3.22\java\svm_toy.java | 12269 | 2016-12-22 |
libsvm-3.22\java\svm_train.java | 8355 | 2016-12-22 |
libsvm-3.22\java\test_applet.html | 81 | 2016-12-22 |
libsvm-3.22\Makefile | 732 | 2016-12-22 |
libsvm-3.22\Makefile.win | 1136 | 2016-12-22 |
libsvm-3.22\matlab\Export_Output.cpg | 5 | 2018-02-27 |
libsvm-3.22\matlab\Export_Output.dbf | 71708 | 2018-02-27 |
libsvm-3.22\matlab\Export_Output.dbf.xml | 512 | 2018-02-27 |
libsvm-3.22\matlab\Export_Output_2.cpg | 5 | 2018-02-27 |
libsvm-3.22\matlab\Export_Output_2.dbf | 30380 | 2018-02-27 |
libsvm-3.22\matlab\Export_Output_2.dbf.xml | 501 | 2018-02-27 |
libsvm-3.22\matlab\heart_scale | 24022 | 2018-01-04 |
libsvm-3.22\matlab\heart_scale.mat | 28904 | 2005-03-22 |
libsvm-3.22\matlab\libsvmread.c | 4063 | 2016-12-22 |
libsvm-3.22\matlab\libsvmread.mexw64 | 36352 | 2018-02-17 |
libsvm-3.22\matlab\libsvmwrite.c | 2341 | 2016-12-22 |
libsvm-3.22\matlab\libsvmwrite.mexw64 | 17408 | 2018-02-17 |
libsvm-3.22\matlab\make.m | 912 | 2018-01-04 |
libsvm-3.22\matlab\Makefile | 1240 | 2016-12-22 |
libsvm-3.22\matlab\README | 9826 | 2016-12-22 |
libsvm-3.22\matlab\SVM-RFE.m | 3207 | 2018-02-28 |
libsvm-3.22\matlab\svmpredict.c | 9820 | 2016-12-22 |
libsvm-3.22\matlab\svmpredict.mexw64 | 196096 | 2018-02-17 |
libsvm-3.22\matlab\svmtrain.c | 11818 | 2016-12-22 |
libsvm-3.22\matlab\svmtrain.mexw64 | 197632 | 2018-02-17 |
libsvm-3.22\matlab\svm_model_matlab.c | 8205 | 2016-12-22 |
libsvm-3.22\matlab\svm_model_matlab.h | 201 | 2016-12-22 |
libsvm-3.22\matlab\SVM_RFE_1V1.m | 3089 | 2018-02-28 |
libsvm-3.22\python\Makefile | 32 | 2016-12-22 |
libsvm-3.22\python\README | 11908 | 2016-12-22 |
libsvm-3.22\python\svm.py | 9603 | 2016-12-22 |
libsvm-3.22\python\svmutil.py | 8695 | 2016-12-22 |
libsvm-3.22\README | 28644 | 2016-12-22 |
libsvm-3.22\svm-predict.c | 5536 | 2016-12-22 |
libsvm-3.22\svm-scale.c | 8539 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\callbacks.cpp | 10308 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\callbacks.h | 1765 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\interface.c | 6457 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\interface.h | 203 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\main.c | 398 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\Makefile | 573 | 2016-12-22 |
libsvm-3.22\svm-toy\gtk\svm-toy.glade | 6402 | 2016-12-22 |
libsvm-3.22\svm-toy\qt\Makefile | 434 | 2016-12-22 |
libsvm-3.22\svm-toy\qt\svm-toy.cpp | 9744 | 2016-12-22 |
libsvm-3.22\svm-toy\windows\svm-toy.cpp | 11503 | 2016-12-22 |
libsvm-3.22\svm-train.c | 8986 | 2016-12-22 |
libsvm-3.22\svm.cpp | 65129 | 2016-12-22 |
libsvm-3.22\svm.def | 477 | 2016-12-22 |
libsvm-3.22\svm.h | 3382 | 2016-12-22 |
libsvm-3.22\tools\checkdata.py | 2479 | 2016-12-22 |
libsvm-3.22\tools\easy.py | 2699 | 2016-12-22 |
libsvm-3.22\tools\grid.py | 15316 | 2016-12-22 |
libsvm-3.22\tools\README | 7033 | 2016-12-22 |
libsvm-3.22\tools\subset.py | 3202 | 2016-12-22 |
libsvm-3.22\windows\libsvm.dll | 259072 | 2016-12-22 |
libsvm-3.22\windows\libsvmread.mexw64 | 36352 | 2018-01-04 |
libsvm-3.22\windows\libsvmwrite.mexw64 | 17408 | 2018-01-04 |
libsvm-3.22\windows\out.txt | 28 | 2018-02-20 |
libsvm-3.22\windows\out1.txt | 8 | 2018-02-20 |
libsvm-3.22\windows\svm-predict.exe | 212992 | 2016-12-22 |
libsvm-3.22\windows\svm-scale.exe | 165888 | 2016-12-22 |
libsvm-3.22\windows\svm-toy.exe | 226816 | 2016-12-22 |
libsvm-3.22\windows\svm-train.exe | 248320 | 2016-12-22 |
libsvm-3.22\windows\svmpredict.mexw64 | 196096 | 2018-01-04 |
libsvm-3.22\windows\svmtrain.mexw64 | 197632 | 2018-01-04 |
libsvm-3.22\windows\test.txt | 141 | 2018-02-20 |
libsvm-3.22\windows\train.txt | 81 | 2018-02-17 |
libsvm-3.22\windows\train.txt.model | 109 | 2018-02-17 |
libsvm-3.22\windows\uo.txt | 0 | 2018-02-17 |
libsvm-3.22\java\libsvm | 0 | 2018-03-01 |
libsvm-3.22\svm-toy\gtk | 0 | 2018-03-01 |
libsvm-3.22\svm-toy\qt | 0 | 2018-03-01 |
libsvm-3.22\svm-toy\windows | 0 | 2018-03-01 |
libsvm-3.22\java | 0 | 2018-03-01 |
libsvm-3.22\matlab | 0 | 2018-03-01 |
libsvm-3.22\python | 0 | 2018-03-01 |
libsvm-3.22\svm-toy | 0 | 2018-03-01 |
libsvm-3.22\tools | 0 | 2018-03-01 |
libsvm-3.22\windows | 0 | 2018-03-01 |
libsvm-3.22 | 0 | 2018-03-01 |
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