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www.eeworm.com/read/157074/11741452

m rankboostaucold.m

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/157074/11741458

asv rankboostauc.asv

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/157074/11741462

m rankboostauc.m

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/260080/11748466

m get_psooptions.m

%get_psoOptions >> A function to get an "options structure" that is used to set various option of the PSO Algorithm. % % Usage : psoOptions = get_psoOptions % Arguments : None
www.eeworm.com/read/344640/11870089

m svmtest.m

function [ClassRate, DecisionValue]= SVMTest(Samples, Labels, AlphaY, SVs, Bias, Parameters) % USAGE: % [ClassRate, DecisionValue]= SVMTest(Samples, Labels, AlphaY, SVs, Bias, Parameters) % % DES
www.eeworm.com/read/256508/11993541

feature_search

#====================================================================== if ($# != "8") then echo "USAGE: feature_search RAW RAW_list eigdir first last model geometry detect" exit 1 endif set R
www.eeworm.com/read/256398/12001840

m createmultilevelkernel.m

function [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level) % USAGE % % [K,Kt]=CreateMultiLevelKernel(xapp,xtest,kerneloption,level) % % This function creates multiscale kernels K an
www.eeworm.com/read/256398/12001887

m kernelpca.m

function [eigvect,eigval,Kt]=kernelpca(x,kernel,kerneloption) % USAGE % [eigvect,eigval]=kernelpca(x,kernel,kerneloption) % % Diagonalizing the covariance matrix in feature space % % eigenv
www.eeworm.com/read/256398/12001938

m rankboostaucold.m

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/256398/12001947

asv rankboostauc.asv

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et