文件名称:libsvm-2.85

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Libsvm is a simple, easy-to-use, and efficient software for SVM

classification and regression. It solves C-SVM classification, nu-SVM

classification, one-class-SVM, epsilon-SVM regression, and nu-SVM

regression. It also provides an automatic model selection tool for

C-SVM classification. This document explains the use of libsvm.
相关搜索: libsvm-2
85

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下载文件列表

libsvm-2.85备份

...............\COPYRIGHT

...............\FAQ.html

...............\heart_scale

...............\java

...............\....\libsvm

...............\....\......\svm.java

...............\....\......\svm.m4

...............\....\......\svm_model.java

...............\....\......\svm_node.java

...............\....\......\svm_parameter.java

...............\....\......\svm_problem.java

...............\....\libsvm.jar

...............\....\Makefile

...............\....\svm_predict.java

...............\....\svm_toy.java

...............\....\svm_train.java

...............\....\test_applet.html

...............\Makefile

...............\Makefile.win

...............\python

...............\......\cross_validation.py

...............\......\Makefile

...............\......\README

...............\......\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

...............\.......\svmpredict.exe

...............\.......\svmscale.exe

...............\.......\svmtoy.exe

...............\.......\svmtrain.exe

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