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/362008/10024035

m relaxation_ssm.m

function [test_targets, a] = Relaxation_SSM(train_patterns, train_targets, test_patterns, params) % Classify using the single-sample relaxation with margin algorithm % Inputs: % train_patterns -
www.eeworm.com/read/357874/10199095

m relaxation_bm.m

function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params) % Classify using the batch relaxation with margin algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/357874/10199206

m relaxation_ssm.m

function [test_targets, a] = Relaxation_SSM(train_patterns, train_targets, test_patterns, params) % Classify using the single-sample relaxation with margin algorithm % Inputs: % train_patterns -
www.eeworm.com/read/399996/7816749

m relaxation_bm.m

function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params) % Classify using the batch relaxation with margin algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/399996/7817102

m relaxation_ssm.m

function [test_targets, a] = Relaxation_SSM(train_patterns, train_targets, test_patterns, params) % Classify using the single-sample relaxation with margin algorithm % Inputs: % train_patterns -
www.eeworm.com/read/397099/8068814

m relaxation_bm.m

function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params) % Classify using the batch relaxation with margin algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/397099/8069079

m relaxation_ssm.m

function [test_targets, a] = Relaxation_SSM(train_patterns, train_targets, test_patterns, params) % Classify using the single-sample relaxation with margin algorithm % Inputs: % train_patterns -
www.eeworm.com/read/245941/12770866

m relaxation_bm.m

function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params) % Classify using the batch relaxation with margin algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/245941/12771222

m relaxation_ssm.m

function [test_targets, a] = Relaxation_SSM(train_patterns, train_targets, test_patterns, params) % Classify using the single-sample relaxation with margin algorithm % Inputs: % train_patterns -
www.eeworm.com/read/330850/12864867

m relaxation_bm.m

function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params) % Classify using the batch relaxation with margin algorithm % Inputs: % train_patterns - Train pa