代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/140850/13059511
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/140850/13059649
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/140850/13059659
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/327199/13095430
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/137160/13342261
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/137160/13342388
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/314653/13562516
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/314653/13562582
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/312163/13617425
m contents.m
% Support Vector Machines.
%
% bsvm2 - Solver for multi-class BSVM with L2-soft margin.
% evalsvm - Trains and evaluates Support Vector Machines classifier.
% mvsvmclass - Majority votin
www.eeworm.com/read/305600/13764874
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.