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/474600/6813511
m balanced_winnow.m
function [test_targets, a_plus, a_minus] = Balanced_Winnow(train_patterns, train_targets, test_patterns, params)
% Classify using the balanced Winnow algorithm
% Inputs:
% training_patterns -
www.eeworm.com/read/286662/8751916
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/372113/9521287
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/362008/10023964
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/357874/10199159
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/399996/7816951
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/397099/8068975
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/245941/12771063
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/330850/12865057
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/317622/13500920
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p