代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/400576/11573495
m rankboostc.m
%RANKBOOSTB Binary rankboost
%
% W = RANKBOOSTC(A,FRACREJ,T)
%
% Train a simple binary version of rankboost containing T weak
% classifiers. The base (weak) classifiers only threshold a single
% fe
www.eeworm.com/read/286662/8751868
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/372113/9521247
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/362008/10023924
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/357874/10199136
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/439468/7708204
m parsecmd.m
function [classifier, para, other_classifier] = ParseCmd(classifier_str, delimiter)
% Extract the parameters and classifiers
[classifier rem] = strtok(classifier_str);
para = [];
additional_cl
www.eeworm.com/read/399996/7816870
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/397099/8068905
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/245941/12770979
m components_without_df.m
function [test_targets, errors] = Components_without_DF(train_patterns, train_targets, test_patterns, Classifiers)
% Classify points using component classifiers without discriminant functions
% In
www.eeworm.com/read/143706/12850152
m parsecmd.m
function [classifier, para, other_classifier] = ParseCmd(classifier_str, delimiter)
% Extract the parameters and classifiers
[classifier rem] = strtok(classifier_str);
para = [];
additional_cl