代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/357874/10199138
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/399996/7816719
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/399996/7816879
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/397099/8068807
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/397099/8068911
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/245941/12770841
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/245941/12770989
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/330850/12864852
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/330850/12864999
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/320989/13414509
m contents.m
% Fuzzy ARTMAP Neural Network Implementation.
% Version 1.0 22-Dec-2003
% Author:
% Aaron Garrett
% Jacksonville State University
% Jacksonville, AL 36265
%
% Functions included i