代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/204456/15339369

m dd_error.m

function [e,f] = dd_error(x,w) %DD_ERROR compute false positive and false negative for oc_classifier % % E = DD_ERROR(X,W) % E = DD_ERROR(X*W) % E = X*W*DD_ERROR % % Compute the fraction of targ
www.eeworm.com/read/159921/10587754

m knnclass.m

% KNNCLASS k-Nearest Neighbours classifier. % [tst_labels] = knnclass(tst_data,trn_data,trn_labels, k) % % Input: % tst_data [dim x n_tst] data to be classified. % trn_data [dim x n_trn] training da
www.eeworm.com/read/421949/10676406

m knnclass.m

% KNNCLASS k-Nearest Neighbours classifier. % [tst_labels] = knnclass(tst_data,trn_data,trn_labels, k) % % Input: % tst_data [dim x n_tst] data to be classified. % trn_data [dim x n_trn] training da
www.eeworm.com/read/143706/12850035

m mcbagging.m

function [Y_compute, Y_prob] = MCBagging(classifier, para, X_train, Y_train, X_test, Y_test, num_class) rand('state', 40); class_set = GetClassSet(Y_train); p = str2num(char(ParseParameter(para
www.eeworm.com/read/322475/13379429

m knn.m

function [class]=knn(Pr,Tr,Pt,kN) % Usage: [Cmat,C_rate]=knn(Pr,Tr,Pt,Tt,kN) % kNN- k-Nearest Neighbor Classifier % copyright 1993-1996 by Yu Hen Hu % Last revision 2/12/03 by Marco F. Duarte % Pr: t
www.eeworm.com/read/128293/5992022

entries

/ArticleBatch.java/1.4/Tue Jun 22 09:58:58 2004// /ArticleClassify.java/1.3/Fri Apr 30 08:24:30 2004// /ArticleDomParser.java/1.4/Sun Jun 13 09:45:41 2004// /Classifier.java/1.3/Fri Apr 30 08:24:31
www.eeworm.com/read/229007/14355754

m knn.m

function [class]=knn(Pr,Tr,Pt,kN) % Usage: [Cmat,C_rate]=knn(Pr,Tr,Pt,Tt,kN) % kNN- k-Nearest Neighbor Classifier % copyright 1993-1996 by Yu Hen Hu % Last revision 2/12/03 by Marco F. Duarte % Pr: t
www.eeworm.com/read/124397/14569786

m hmmrecog.m

function [logp,guess] = hmmrecog(data,A_m,B_m,pi_m,cb,N,deltaN,M,Q) % hmmrecog --> HMM based word classifier. % % % [logp,guess] = hmmrecog(data,A_m,B_m,pi_m,cb,N,deltaN,M,Q) % %
www.eeworm.com/read/223154/14651923

m fc0.m

function [CC,Q,tsd,md,cc]=fc0(D,TRIG,T,arg4) % FC finds a classifier for asnychroneous data % % [CC,Q,TSD,MD]=fc0(D,TRIG,class_times [,SWITCH]); % % D data, each row is one time point % TRIG t
www.eeworm.com/read/250585/4428754

entries

/BVDecompose.java/1.1/Tue May 1 13:10:07 2007// /BVDecomposeSegCVSub.java/1.1/Tue May 1 13:10:08 2007// /CheckClassifier.java/1.1/Tue May 1 13:10:08 2007// /Classifier.java/1.1/Tue May 1 13:10: