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于 2020-07-01 发布
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说明:  持向量机最基本的应用是两类分类问题的研究,直接应用到多分类问题并不适应,多分类问题在实际研究中时普遍存在的,基于这样的矛盾,学者加快了基于SVM的多分类应用研究。目前主要有两种思路将支持向量机应用到多分类问题: (1)结合多个两分类器构造多分类器. (2)把多个分类面的求解参数合并到一个最优化问题中,用过求解这个 合并后的最优化问题,这样就、一次性就解决了多分类问题.(The most basic application of SVM is the research of two kinds of classification problems. It is not suitable to apply it directly to multi classification problems. Multi classification problems are common in practical research. Based on this contradiction, scholars speed up the application research of multi classification based on SVM. At present, there are two main ideas to apply support vector machine to multi classification problems (1) A multi classifier is constructed by combining two classifiers (2) This paper combines the solving parameters of several classification surfaces into an optimization problem In this way, the multi - classification problem can be solved at one time)

文件列表:

Contents.m, 2905 , 2002-02-25
LinearSVC.m, 1978 , 2002-02-15
Normalize.m, 234 , 2001-12-06
PolySVC.m, 2880 , 2002-02-15
RbfSVC.m, 2431 , 2002-02-15
SVMClass.m, 5967 , 2002-02-15
SVMPlot.m, 4067 , 2002-02-15
SVMPlot2.m, 5845 , 2002-02-15
SVMTest.m, 7212 , 2002-02-15
SVMTrain.m, 5415 , 2002-02-15
Scale.m, 504 , 2002-01-28
cmap.mat, 1728 , 1997-08-13
demo, 0 , 2020-04-09
demo\DemoData_class.mat, 144664 , 2000-06-22
demo\DemoData_test.mat, 144656 , 2000-02-23
demo\DemoData_train.mat, 432016 , 2000-02-23
demo\SVMClassifier.mat, 38496 , 2002-02-25
demo\c_clademo.m, 1907 , 2002-02-15
demo\c_lindemo.m, 2892 , 2002-02-15
demo\c_poldemo.m, 3369 , 2002-02-25
demo\c_rbfdemo.m, 3248 , 2002-02-25
demo\c_svcdemo.m, 749 , 2002-02-25
demo\one_rbfdemo.m, 3382 , 2002-02-25
demo\osusvmdemo.m, 612 , 2000-10-10
demo\u_clademo.m, 1910 , 2002-02-25
demo\u_lindemo.m, 2894 , 2002-02-25
demo\u_poldemo.m, 3369 , 2002-02-25
demo\u_rbfdemo.m, 3250 , 2002-02-25
demo\u_svcdemo.m, 750 , 2000-10-10
demos.m, 587 , 2002-01-03
mexSVMClass.dll, 61440 , 2002-04-12
mexSVMClass.m, 5181 , 2002-02-15
mexSVMClass.mexglx, 166002 , 2002-04-12
mexSVMClass.mexhp7, 127289 , 2002-03-21
mexSVMClass.mexsol, 232932 , 2002-03-21
mexSVMTrain.dll, 73728 , 2002-04-12
mexSVMTrain.m, 4332 , 2002-02-15
mexSVMTrain.mexglx, 165010 , 2002-04-12
mexSVMTrain.mexhp7, 127290 , 2002-03-21
mexSVMTrain.mexsol, 231836 , 2002-03-21
one_RbfSVC.m, 2557 , 2002-02-25
u_LinearSVC.m, 2014 , 2002-02-25
u_PolySVC.m, 2942 , 2002-02-25
u_RbfSVC.m, 2484 , 2002-02-25

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