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/357874/10199205
m components_with_df.m
function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents)
% Classify points using component classifiers with discriminant functions
% Inputs:
www.eeworm.com/read/280595/10312255
m demo_linclass.m
function result = demo_linclass(action,hfigure,varargin)
% DEMO_LINCLASS Demo on the algorithms learning linear classifiers.
%
% Synopsis:
% demo_linclass
%
% Description:
% DEMO_LINCLASS demonstrat
www.eeworm.com/read/451547/7461983
m is_occ.m
%IS_OCC True for one-class classifiers
%
% IS_OCC(W) returns true if the classifier W is a one-class classifier,
% outputting only classes 'target' and/or 'outlier' and having a
% structure with t
www.eeworm.com/read/399996/7817095
m components_with_df.m
function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents)
% Classify points using component classifiers with discriminant functions
% Inputs:
www.eeworm.com/read/299459/7850765
m demo_linclass.m
function result = demo_linclass(action,hfigure,varargin)
% DEMO_LINCLASS Demo on the algorithms learning linear classifiers.
%
% Synopsis:
% demo_linclass
%
% Description:
% DEMO_LINCLASS demonstrat
www.eeworm.com/read/397111/8067310
m is_occ.m
%IS_OCC True for one-class classifiers
%
% IS_OCC(W) returns true if the classifier W is a one-class classifier,
% outputting only classes 'target' and/or 'outlier' and having a
% structure with t
www.eeworm.com/read/397099/8069077
m components_with_df.m
function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents)
% Classify points using component classifiers with discriminant functions
% Inputs:
www.eeworm.com/read/397097/8069158
m is_occ.m
%IS_OCC True for one-class classifiers
%
% is_occ(w) returns true if the classifier w is a one-class classifier,
% outputting only classes 'target' and/or 'outlier' and having a
% structure with t
www.eeworm.com/read/245941/12771218
m components_with_df.m
function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents)
% Classify points using component classifiers with discriminant functions
% Inputs:
www.eeworm.com/read/143706/12850082
m train_test_validate.m
% Input pararmeter:
% D: data array, including the feature data and output class
% outputfile: the output file name of classifiers
function run = train_test_validate(D, classifier_wrapper_handle,