代码搜索：classifies

找到约 147 项符合「classifies」的源代码

代码结果 147
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for classf.for

SUBROUTINE CLASSF *----------------------------------------------------------------------- * *--- classifies a FORTRAN statement. * modified by JJB to understand mixed case Fortran * *--- inp
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www.eeworm.com/read/159921/10588070

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/421949/10676742

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/128468/14295474

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/430506/1929447

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/373460/2761881

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/367442/9747962

m svmclass2.m

% SVMCLASS2 classifies patterns using SVM decision function. % [pred_labels,dec_fun] = svmclass2(tst_data,trn_data,trn_labels,Alpha,bias,ker,arg) % % SVMCLASS2 classifies patterns using SVM decision
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www.eeworm.com/read/397106/8067543

m ml_vc.m

% Learns classifier and classifies test set % by representing the distributions as Gaussians, % learning the parameters using Maximum Likelihood % % Inputs: % Usage % [trainError, testError,
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www.eeworm.com/read/397106/8067584

m perceptron_vc.m

% Learns classifier and classifies test set % using the perceptron learning algorithm % % If there are 2 classes, there is no problem (except that the labels are % converted to 0 and 1). % If t
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www.eeworm.com/read/397106/8067726

m ml_diag_vc.m

% Learns classifier and classifies test set % by representing the distributions as Gaussians, % with diagonal covariance matrix % learning the parameters using Maximum Likelihood % % Inputs: % U
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