代码搜索：Multi-class

找到约 534 项符合「Multi-class」的源代码

代码结果 534
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/483114/6609792

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. %
·
www.eeworm.com/read/483114/6609796

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. %
·
www.eeworm.com/read/400576/11573534

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
·
www.eeworm.com/read/128193/14311433

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. %
·
www.eeworm.com/read/128193/14311519

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. %
·
www.eeworm.com/read/128193/14311525

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. %
·
www.eeworm.com/read/222301/14697761

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. %
·
www.eeworm.com/read/222301/14697839

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. %
·
www.eeworm.com/read/222301/14697844

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. %
·
www.eeworm.com/read/13911/286890

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
·