代码搜索：Patterns
找到约 8,017 项符合「Patterns」的源代码
代码结果 8,017
www.eeworm.com/read/286662/8751754
m perceptron_fm.m
function [test_targets, a] = Perceptron_FM(train_patterns, train_targets, test_patterns, params)
% Classify using the Perceptron algorithm but at each iteration updating the worst-classified sample
www.eeworm.com/read/286662/8752052
m perceptron_vim.m
function [test_targets, a] = Perceptron_VIM(train_patterns, train_targets, test_patterns, params)
% Classify using the variable incerement Perceptron with margin algorithm
% Inputs:
% train_pat
www.eeworm.com/read/372113/9521098
m perceptron_bvi.m
function [test_targets, a] = Perceptron_BVI(train_patterns, train_targets, test_patterns, params)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% train_patterns -
www.eeworm.com/read/372113/9521144
m perceptron_fm.m
function [test_targets, a] = Perceptron_FM(train_patterns, train_targets, test_patterns, params)
% Classify using the Perceptron algorithm but at each iteration updating the worst-classified sample
www.eeworm.com/read/372113/9521402
m perceptron_vim.m
function [test_targets, a] = Perceptron_VIM(train_patterns, train_targets, test_patterns, params)
% Classify using the variable incerement Perceptron with margin algorithm
% Inputs:
% train_pat
www.eeworm.com/read/362008/10023841
m perceptron_fm.m
function [test_targets, a] = Perceptron_FM(train_patterns, train_targets, test_patterns, params)
% Classify using the Perceptron algorithm but at each iteration updating the worst-classified sample
www.eeworm.com/read/357874/10199058
m perceptron_bvi.m
function [test_targets, a] = Perceptron_BVI(train_patterns, train_targets, test_patterns, params)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% train_patterns -
www.eeworm.com/read/357874/10199088
m perceptron_fm.m
function [test_targets, a] = Perceptron_FM(train_patterns, train_targets, test_patterns, params)
% Classify using the Perceptron algorithm but at each iteration updating the worst-classified sample
www.eeworm.com/read/357874/10199213
m perceptron_vim.m
function [test_targets, a] = Perceptron_VIM(train_patterns, train_targets, test_patterns, params)
% Classify using the variable incerement Perceptron with margin algorithm
% Inputs:
% train_pat
www.eeworm.com/read/399996/7816609
m perceptron_bvi.m
function [test_targets, a] = Perceptron_BVI(train_patterns, train_targets, test_patterns, params)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% train_patterns -