文件名称:data
介绍说明--下载内容均来自于网络,请自行研究使用
SVM是支持向量机的缩写,是属于统计学习理论的一种人工智能算法。 osu svm是一个工具箱-SVM is a support vector machine stands are a statistical learning theory artificial intelligence algorithms. osu svm is a toolbox
相关搜索: osu
(系统自动生成,下载前可以参看下载内容)
下载文件列表
pre1.txt
lable.txt
lablepr.txt
train1.txt
osu-svm\COPYING
.......\PolySVC.m
.......\cmap.mat
.......\Contents.m
.......\demos.m
.......\LinearSVC.m
.......\mexSVMClass.dll
.......\mexSVMClass.m
.......\mexSVMClass.mexglx
.......\mexSVMClass.mexhp7
.......\mexSVMClass.mexsol
.......\mexSVMTrain.dll
.......\mexSVMTrain.m
.......\mexSVMTrain.mexglx
.......\mexSVMTrain.mexhp7
.......\mexSVMTrain.mexsol
.......\Normalize.m
.......\one_RbfSVC.m
.......\RbfSVC.m
.......\Scale.m
.......\SVMClass.m
.......\SVMPlot.m
.......\SVMPlot2.m
.......\SVMTest.m
.......\SVMTrain.m
.......\u_LinearSVC.m
.......\u_PolySVC.m
.......\u_RbfSVC.m
.......\AUTHORS
.......\SVMClassifier.mat
.......\DemoData_class.mat
.......\DemoData_test.mat
.......\DemoData_train.mat
.......\demo\c_clademo.m
.......\....\c_lindemo.m
.......\....\c_poldemo.m
.......\....\c_rbfdemo.m
.......\....\c_svcdemo.m
.......\....\DemoData_class.mat
.......\....\DemoData_test.mat
.......\....\DemoData_train.mat
.......\....\one_rbfdemo.m
.......\....\osusvmdemo.m
.......\....\SVMClassifier.mat
.......\....\u_clademo.m
.......\....\u_lindemo.m
.......\....\u_poldemo.m
.......\....\u_rbfdemo.m
.......\....\u_svcdemo.m
.......\demo
osu-svm
lable.txt
lablepr.txt
train1.txt
osu-svm\COPYING
.......\PolySVC.m
.......\cmap.mat
.......\Contents.m
.......\demos.m
.......\LinearSVC.m
.......\mexSVMClass.dll
.......\mexSVMClass.m
.......\mexSVMClass.mexglx
.......\mexSVMClass.mexhp7
.......\mexSVMClass.mexsol
.......\mexSVMTrain.dll
.......\mexSVMTrain.m
.......\mexSVMTrain.mexglx
.......\mexSVMTrain.mexhp7
.......\mexSVMTrain.mexsol
.......\Normalize.m
.......\one_RbfSVC.m
.......\RbfSVC.m
.......\Scale.m
.......\SVMClass.m
.......\SVMPlot.m
.......\SVMPlot2.m
.......\SVMTest.m
.......\SVMTrain.m
.......\u_LinearSVC.m
.......\u_PolySVC.m
.......\u_RbfSVC.m
.......\AUTHORS
.......\SVMClassifier.mat
.......\DemoData_class.mat
.......\DemoData_test.mat
.......\DemoData_train.mat
.......\demo\c_clademo.m
.......\....\c_lindemo.m
.......\....\c_poldemo.m
.......\....\c_rbfdemo.m
.......\....\c_svcdemo.m
.......\....\DemoData_class.mat
.......\....\DemoData_test.mat
.......\....\DemoData_train.mat
.......\....\one_rbfdemo.m
.......\....\osusvmdemo.m
.......\....\SVMClassifier.mat
.......\....\u_clademo.m
.......\....\u_lindemo.m
.......\....\u_poldemo.m
.......\....\u_rbfdemo.m
.......\....\u_svcdemo.m
.......\demo
osu-svm