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/397099/8069007
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/196199/8110849
m c4-5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan′s C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/245941/12771101
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/330850/12865096
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/142516/12942207
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/139719/13137690
txt c4_5.txt
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node
www.eeworm.com/read/317622/13500938
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/316604/13520402
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/359185/6352493
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/493206/6398471
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -