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/399996/7816712
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/399996/7817126
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/397099/8068745
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/397099/8068803
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/397099/8069090
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/245941/12770761
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/245941/12770835
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/245941/12771242
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/330850/12864737
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/330850/12864843
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