文件名称:libsvmtest
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libSVM簡介
這是台大林智仁老師所開發的SVM工具，應該是世界上最好用且最主流的SVM，許多國內外的研究都透過他完成的。其實SVM之所以會成為主流，是因為它的效率較高，而且結果也不錯，甚至有學者認為SVM可以取代類神經網路(林國峰等，2009)。-libSVM Introduction This is NTU prof developed SVM tool, it should be the world' s best and most mainstream use of SVM, many at home and abroad through his studies completed. In fact, the reason why SVM will become the mainstream, because of its high efficiency, and the results are good, even some scholars believe may replace SVM neural network (林国峰 et al., 2009).
這是台大林智仁老師所開發的SVM工具，應該是世界上最好用且最主流的SVM，許多國內外的研究都透過他完成的。其實SVM之所以會成為主流，是因為它的效率較高，而且結果也不錯，甚至有學者認為SVM可以取代類神經網路(林國峰等，2009)。-libSVM Introduction This is NTU prof developed SVM tool, it should be the world' s best and most mainstream use of SVM, many at home and abroad through his studies completed. In fact, the reason why SVM will become the mainstream, because of its high efficiency, and the results are good, even some scholars believe may replace SVM neural network (林国峰 et al., 2009).
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下载文件列表
libsvmtest\.classpath
..........\.project
..........\.settings\org.eclipse.jdt.core.prefs
..........\bin\libsvm\Cache$head_t.class
..........\...\......\Cache.class
..........\...\......\Kernel.class
..........\...\......\ONE_CLASS_Q.class
..........\...\......\QMatrix.class
..........\...\......\Solver$SolutionInfo.class
..........\...\......\Solver.class
..........\...\......\Solver_NU.class
..........\...\......\SVC_Q.class
..........\...\......\svm$1.class
..........\...\......\svm$decision_function.class
..........\...\......\svm.class
..........\...\......\svm.m4
..........\...\......\svm_model.class
..........\...\......\svm_node.class
..........\...\......\svm_parameter.class
..........\...\......\svm_print_interface.class
..........\...\......\svm_problem.class
..........\...\......\SVR_Q.class
..........\...\service\AppletFrame$1.class
..........\...\.......\AppletFrame.class
..........\...\.......\svm_predict$1.class
..........\...\.......\svm_predict$2.class
..........\...\.......\svm_predict.class
..........\...\.......\svm_scale.class
..........\...\.......\svm_toy$1.class
..........\...\.......\svm_toy$2.class
..........\...\.......\svm_toy$3.class
..........\...\.......\svm_toy$4.class
..........\...\.......\svm_toy$5.class
..........\...\.......\svm_toy$6.class
..........\...\.......\svm_toy$point.class
..........\...\.......\svm_toy.class
..........\...\.......\svm_train$1.class
..........\...\.......\svm_train.class
..........\...\SVMmain.class
..........\libsvm.jar
..........\src\libsvm\svm.java
..........\...\......\svm.m4
..........\...\......\svm_model.java
..........\...\......\svm_node.java
..........\...\......\svm_parameter.java
..........\...\......\svm_print_interface.java
..........\...\......\svm_problem.java
..........\...\service\svm_predict.java
..........\...\.......\svm_scale.java
..........\...\.......\svm_toy.java
..........\...\.......\svm_train.java
..........\...\SVMmain.java
..........\新文字文件.txt
..........\bin\libsvm
..........\...\service
..........\...\trainfile
..........\src\libsvm
..........\...\service
..........\...\trainfile
..........\.settings
..........\bin
..........\src
libsvmtest