代码搜索：Multi-class
找到约 534 项符合「Multi-class」的源代码
代码结果 534
www.eeworm.com/read/441245/7673376
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/137160/13342564
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/314653/13562685
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/493294/6400456
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/480105/6676778
c gentleboost_model.c
/*
Gentle AdaBoost Classifier with two different weak-learners : Decision Stump and Perceptron.
Multi-class problem is performed with the one-against-all strategy.
Usage
------
www.eeworm.com/read/407916/11408577
cpp adtreelearner.cpp
/*
* This file is part of MultiBoost, a multi-class
* AdaBoost learner/classifier
*
* Copyright (C) 2005-2006 Norman Casagrande
* For informations write to nova77@gmail.com
*
* This library is
www.eeworm.com/read/407916/11408581
h adtreelearner.h
/*
* This file is part of MultiBoost, a multi-class
* AdaBoost learner/classifier
*
* Copyright (C) 2005-2006 Norman Casagrande
* For informations write to nova77@gmail.com
*
* This library is
www.eeworm.com/read/407916/11408600
h haardata.h
/*
* This file is part of MultiBoost, a multi-class
* AdaBoost learner/classifier
*
* Copyright (C) 2005-2006 Norman Casagrande
* For informations write to nova77@gmail.com
*
* This library is
www.eeworm.com/read/400577/11573340
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu
www.eeworm.com/read/255755/12058254
m mclassc.m
%MCLASSC Computation of multi-class classifier from 2-class discriminants
%
% W = MCLASSC(A,CLASSF,MODE)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier
% MODE Type of handling mu