代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/493294/6400317
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
echo on
% Gen
www.eeworm.com/read/493294/6400340
m prex_combining.m
%PREX_COMBINING PRTools example on classifier combining
%
% Presents the use of various fixed combiners for some
% classifiers on the 'difficult data'.
%
help prex_combining
echo on
www.eeworm.com/read/493294/6400415
m isclassifier.m
%ISCLASSIFIER Test on normed classifier
%
% I = ISCLASSIFIER(W)
% ISCLASSIFIER(W)
%
% A mapping W is a classifier if its OUT_CONV field is larger
% than zero. In that case confidences will be r
www.eeworm.com/read/492400/6422228
m stump_dd.m
%STUMP_DD Threshold one dim. one-class classifier
%
% W = STUMP_DD(A,FRACREJ,DIM)
%
% Put a threshold on one of the feature dimensions DIM of dataset A. The
% threshold is put such that a frac
www.eeworm.com/read/492400/6422247
m random_dd.m
%RANDOM_DD Random one-class classifier
%
% W = RANDOM_DD(A,FRACREJ)
%
% This is the trivial one-class classifier, randomly assigning labels
% and rejecting FRACREJ of the data objects. This pr
www.eeworm.com/read/400577/11573028
m prex_mcplot.m
%PREX-MCPLOT PRTools example on a multi-class classifier plot
help prex_mcplot
echo on
gridsize(100)
% Generate twice normally distributed 2-class data in 2D
a = +gendath([20,20]); %
www.eeworm.com/read/400577/11573194
m prex_cost.m
%PREX_COST PRTools example on cost matrices and rejection
%
% Prtools example code to show the use of cost matrices and how
% to introduce a reject class.
help prex_cost
echo on
% Gen
www.eeworm.com/read/400577/11573213
m prex_combining.m
%PREX_COMBINING PRTools example on classifier combining
%
% Presents the use of various fixed combiners for some
% classifiers on the 'difficult data'.
%
help prex_combining
echo on
www.eeworm.com/read/400577/11573297
m isclassifier.m
%ISCLASSIFIER Test on normed classifier
%
% I = ISCLASSIFIER(W)
% ISCLASSIFIER(W)
%
% A mapping W is a classifier if its OUT_CONV field is larger
% than zero. In that case confidences will be r
www.eeworm.com/read/400576/11573482
m stump_dd.m
%STUMP_DD Threshold one dim. one-class classifier
%
% W = STUMP_DD(A,FRACREJ,DIM)
%
% Put a threshold on one of the feature dimensions DIM of dataset A. The
% threshold is put such that a frac