代码搜索：Multi-class

找到约 534 项符合「Multi-class」的源代码

代码结果 534
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www.eeworm.com/read/183443/9158846

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/183443/9158976

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/183443/9158984

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a dag-svm multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181389/9256469

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181389/9256561

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181389/9256567

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a dag-svm multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181388/9256604

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181388/9256709

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/181388/9256715

m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a dag-svm multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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www.eeworm.com/read/360995/10070030

m dd_ex11.m

% DD_EX11 % % Example of the training of a multi-class classifiers, constructed from % class-wise one-class classifiers. As a comparison, also the individual % one-class classifiers are explicitly con
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