pseudoloss.m

一个关于adaboost和NN的matlab程序

function [betaT,loss] = pseudoloss(weights,net_tr,targets)
% WBL 22 Sept 2002 Calculate error (betaT) of boosted ANN
% $Revision: 1.4 $  $Date: 2002/10/31 11:23:10 $

%WBL 30 Sep 2002 Use whole of training data, not just selected this round

ntests = size(weights,2);

%pseudo-loss table 1 p1873 2.
loss = net_tr(2,:)-net_tr(1,:);
for i=1:ntests
    if(targets(1,i)) %actual y_i is false
        loss(i)=-loss(i);
    end
end
%targets
%net_tr
%loss
e = weights*(1-loss)'/2;
betaT = e/(1-e);