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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www.eeworm.com/read/398337/7993460

asv svmfit.asv

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/398337/7993463

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/397097/8069177

m plotw.m

function h = plotw(w,nrc) % h = plotw(w,nrc) % % Plot the real value output of classifier w... % ...not completely supported... % Copyright: D. Tax, R.P.W. Duin, davidt@ph.tn.tudelft.nl % Faculty of
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www.eeworm.com/read/140851/13059312

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 inpu
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www.eeworm.com/read/138798/13212390

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 inpu
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www.eeworm.com/read/312163/13617428

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/312163/13617434

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/135153/5889430

h pkt_cls.h

#ifndef __NET_PKT_CLS_H #define __NET_PKT_CLS_H #include struct rtattr; struct tcmsg; /* Basic packet classifier frontend definitions. */ struct tcf_result { unsigned long clas
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www.eeworm.com/read/132748/5910016

h pkt_cls.h

#ifndef __NET_PKT_CLS_H #define __NET_PKT_CLS_H #include struct rtattr; struct tcmsg; /* Basic packet classifier frontend definitions. */ struct tcf_result { unsigned long clas
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www.eeworm.com/read/299625/6285237

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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