代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
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m svmfit.m

function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose) %SVMFIT Fit SVM Gaussian classifier with adaptive scaling % [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
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www.eeworm.com/read/393865/8257727

m svmfit.m

function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose) %SVMFIT Fit SVM Gaussian classifier with adaptive scaling % [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
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www.eeworm.com/read/411674/11233739

m svm2.m

function model = svm2(data,options) % SVM2 Learning of binary SVM classifier with L2-soft margin. % % Synopsis: % model = svm2(data) % model = svm2(data,options) % % Description: % This function le
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www.eeworm.com/read/113576/15453050

m svmfit.m

function [Sigma,Xsup,Alpsup,w0,pos,Time,Crit,SigmaH] = svmfit(Xapp,yapp,Sigma,C,option,pow,verbose) %SVMFIT Fit SVM Gaussian classifier with adaptive scaling % [SIGMA,XSUP,ALPSUP,W0] = SVMFIT(XAPP,YA
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www.eeworm.com/read/177674/9442641

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/176823/9483332

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/143706/12849956

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/485544/6552783

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/253950/12173762

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/339665/12211815

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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