代码搜索：classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
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m start_classify.m

function [D, test_err, train_err, train_features, train_targets, reduced_features, reduced_targets] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
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www.eeworm.com/read/359185/6352529

m start_classify.m

function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
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www.eeworm.com/read/493206/6398507

m start_classify.m

function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
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www.eeworm.com/read/410924/11264883

m start_classify.m

function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
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www.eeworm.com/read/405069/11472208

m start_classify.m

function [D, test_err, train_err, train_patterns, train_targets, reduced_patterns, reduced_targets] = start_classify(patterns, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
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www.eeworm.com/read/131588/14136258

m start_classify.m

function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
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www.eeworm.com/read/129915/14217685

m start_classify.m

function [D, test_err, train_err, train_features, train_targets, reduced_features, reduced_targets] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
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www.eeworm.com/read/474600/6813459

m start_classify.m

function [D, test_err, train_err, train_patterns, train_targets, reduced_patterns, reduced_targets] = start_classify(patterns, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
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www.eeworm.com/read/415311/11077098

m start_classify.m

function [D, test_err, train_err] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, PreprocessingParameters, Classification_algorithm, AlgorithmParameters, r
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www.eeworm.com/read/277987/4148242

readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and n
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