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libsvm-2.85

  • Category : AI-NN-PR
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  • Update : 2012-11-26
  • Size : 497kb
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  • Author :clhhuc
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Introduction - If you have any usage issues, please Google them yourself
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.
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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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