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/451547/7461975
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/451547/7461995
m plotw.m
function h = plotw(w,nrc)
%PLOTW Plot the classifier w.
%
% h = plotw(w,nrc)
%
% Please use plotc instead.
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
% Faculty EWI, Delft University of Technol
www.eeworm.com/read/312163/13617619
m gsmo.m
function [x,fval,stat,Nabla] = gsmo(H,f,a,b,LB,UB,x0,Nabla0,options)
% GSMO Generalized SMO algorithm for classifier design.
%
% Synopsis:
% [x,fval,stat,Nabla] = gsmo(H,f,a,b,LB,UB)
% [...] = gsmo(
www.eeworm.com/read/493294/6400334
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/493294/6400491
m plotw.m
function h = plotw(w,nrc)
%PLOTW Plot the classifier w.
%
% h = plotw(w,nrc)
%
% Please use plotc instead.
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
% Faculty EWI, Delft University of Technol
www.eeworm.com/read/492400/6422293
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/492400/6422313
m plotw.m
function h = plotw(w,nrc)
%PLOTW Plot the classifier w.
%
% h = plotw(w,nrc)
%
% Please use plotc instead.
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
% Faculty EWI, Delft University of Technol
www.eeworm.com/read/400576/11573547
m dd_eer.m
%EER Equal error rate
%
% E = DD_EER(R)
% E = A*W*DD_EER
%
% Compute the Equal error rate for ROC-curve R, or from the roc-curve
% derived from dataset A applied to (one-class) classifier W. Out
www.eeworm.com/read/400576/11573568
m plotw.m
function h = plotw(w,nrc)
%PLOTW Plot the classifier w.
%
% h = plotw(w,nrc)
%
% Please use plotc instead.
% Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
% Faculty EWI, Delft University of Technol
www.eeworm.com/read/128468/14295531
m svmmot.m
function [Alpha,bias,nsv,exitflag,flps,margin,trn_err]=...
svmmot(X,I,ker,arg,C)
% SVMMOT learns SVM (L1) classifier using Matlab Optimization Toolbox.
% [Alpha,bias,nsv,eflag,flps,margin,trn_err]