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/286180/8784201

m c_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/283653/9000605

m u_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns % echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/283653/9000621

m c_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/181390/9256395

m u_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns % echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/181390/9256414

m c_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/180304/9313083

m u_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns % echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/180304/9313104

m c_clademo.m

echo off % CLADEMO demonstration for using a contructed SVM classifier to classify % input patterns echo on; % % % NOTICE: please first run any of the first three demonstrations before %
www.eeworm.com/read/372113/9521365

m marginalization.m

function [targets, P] = Marginalization(patterns, targets, params, plot_on) % Classify data with missing features using the marginal distribution % % Inputs: % patterns - Input patterns % t
www.eeworm.com/read/175317/9552377

m ml_test.m

function [f,labels,error]=ml_test(classifier,X,Y) % ML_TEST Uses a classifier to classify data in X % ----------------------------------------------------------------------------% % % Usage: % [f,la
www.eeworm.com/read/362008/10024022

m marginalization.m

function [P, targets] = Marginalization(patterns, targets, params, plot_on) % Classify data with missing features using the marginal distribution % % Inputs: % patterns - Input patterns % t