代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/128684/5980331

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/128684/5980370

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/128684/5980373

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/493294/6400253

m lmnc.m

%LMNC Levenberg-Marquardt trained feed-forward neural net classifier % % [W,HIST] = LMNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each
·
www.eeworm.com/read/493294/6400352

m mapping.m

%MAPPING Mapping class constructor % % W = MAPPING(MAPPING_FILE, MAPPING_TYPE, DATA, LABELS, SIZE_IN, SIZE_OUT) % % A map/classifier object is constructed. It may be used to map a dataset A % on anoth
·
www.eeworm.com/read/483114/6609704

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/483114/6609792

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/408453/11387824

cpp leftview.cpp

// LeftView.cpp : implementation of the CLeftView class // #include "stdafx.h" #include "svmcls.h" #include "svmclsDoc.h" #include "LeftView.h" #include "svmclsView.h" #include "classifier.
·
www.eeworm.com/read/407916/11408568

pro multiboost.pro

TEMPLATE = app CONFIG = release DEFINES = NDEBUG INCLUDEPATH = src/ HEADERS = src/AdaBoostMHLearner.h \ src/Classifier.h \ src/Defaults.h \ src/IO/ClassMappings.h \ src/IO/InputDat
·