代码搜索:Multi-class

找到约 534 项符合「Multi-class」的源代码

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www.eeworm.com/read/245644/12786062

readme

Creation: 04/01/02 Last update: 14/08/02 This application implements a Multi-class Support Vector Machine (M-SVM). - A user's guide can be found in the file: Doc/users_guide.ps - Technical detail
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m oaasmo.m

function [model] = oaasmo(data,labels,ker,arg,C,epsilon,tolerance,info) % OAASMO One-Against-All multi-class decomposition solved by SMO. % [model] = oaasmo(X,I,ker,arg,C,epsilon,tolerance,info) % % O
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m contents.m

% Support Vector Machines. % % msmo - Multi-class version of SMO. % msvmclass - Multi-class version of SVMCLASS. % msvmmot - Multi-class version of SVMMOT. % ka - Kernel-Adatron algo
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m contents.m

% Support Vector Machines. % % msmo - Multi-class version of SMO. % msvmclass - Multi-class version of SVMCLASS. % msvmmot - Multi-class version of SVMMOT. % ka - Kernel-Adatron algo
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m multic.m

%MULTIC Make a multi-class classifier % % W = MULTIC(A,V) % % Train the (untrained!) one-class classifier V on each of the classes % in A, and combine it to a multi-class classifier W. If an object
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m multic.m

%MULTIC Make a multi-class classifier % % W = MULTIC(A,V) % % Train the (untrained!) one-class classifier V on each of the classes % in A, and combine it to a multi-class classifier W. If an object
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m multic.m

%MULTIC Make a multi-class classifier % % W = MULTIC(A,V) % % Train the (untrained!) one-class classifier V on each of the classes % in A, and combine it to a multi-class classifier W. If an object
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m multic.m

%MULTIC Make a multi-class classifier % % W = MULTIC(A,V) % % Train the (untrained!) one-class classifier V on each of the classes % in A, and combine it to a multi-class classifier W. If an object
www.eeworm.com/read/415313/11076741

m train_test_multiple_class.m

% Train_Test_Multiple_Class: multi-class learning wrapper for binary % classifiers % % Pararmeters: % classifier: the base classifier % para: parameters % 1. CodeType: multi-class coding type
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m train_test_multiple_class_al.m

% Train_Test_Multiple_Class_AL: multi-class active learning wrapper for binary % classifiers % % Pararmeters: % classifier: the base classifier % para: parameters % 1. CodeType: multi-class c