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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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/13911/286952

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/13911/286955

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/347796/3163024

java multiclassdecoder.java

package dragon.ir.classification.multiclass; /** * Interface for Multi-class Decoder * * Copyright: Copyright (c) 2005 * Company: IST, Drexel University * @author Da
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www.eeworm.com/read/268397/4252862

java multiclassdecoder.java

package dragon.ir.classification.multiclass; /** * Interface for Multi-class Decoder * * Copyright: Copyright (c) 2005 * Company: IST, Drexel University * @author Da
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www.eeworm.com/read/411379/2188967

m maxwin.m

function net = maxwin(arg, sv, w, bias, C, zeta) % MAXWIN % % Construct a max-win multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class maxw
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www.eeworm.com/read/411379/2188968

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/411379/2189007

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/411379/2189010

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/111603/15509327

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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