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/400577/11573021
m ldc.m
%LDC Linear Bayes Normal Classifier (BayesNormal_1)
%
% [W.R,S,M] = LDC(A,R,S,M)
% W = A*LDC([],R,S,M);
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/342008/12046792
m persc.m
%PERSC Linear classifier by non-linear perceptron
%
% [W1,W2] = persc(A,n,step,target,W)
%
% Finds the linear discriminant function W1 (a mapping) by n cycles
% of the data through the non-linear
www.eeworm.com/read/328782/3436114
h marki_brewer.h
// {{{RME classifier 'Logical View::Brewers::MarkI_Brewer'
#ifndef rtg_MarkI_Brewer_H
#define rtg_MarkI_Brewer_H
#ifdef PRAGMA
#pragma interface "rtg/MarkI_Brewer.h"
#endif
#include
www.eeworm.com/read/328782/3436146
h warmer.h
// {{{RME classifier 'Logical View::HWDrivers::Warmer'
#ifndef rtg_Warmer_H
#define rtg_Warmer_H
#ifdef PRAGMA
#pragma interface "rtg/Warmer.h"
#endif
#include
www.eeworm.com/read/328782/3436150
h boiler.h
// {{{RME classifier 'Logical View::HWDrivers::Boiler'
#ifndef rtg_Boiler_H
#define rtg_Boiler_H
#ifdef PRAGMA
#pragma interface "rtg/Boiler.h"
#endif
#include
www.eeworm.com/read/328782/3436155
h marki_brewer.h
// {{{RME classifier 'Logical View::Brewers::MarkI_Brewer'
#ifndef rtg_MarkI_Brewer_H
#define rtg_MarkI_Brewer_H
#ifdef PRAGMA
#pragma interface "rtg/MarkI_Brewer.h"
#endif
#include
www.eeworm.com/read/313445/3643754
cpp classifierdlg.cpp
// ClassifierDlg.cpp : 实现文件
//
#include "stdafx.h"
#include "Classifier.h"
#include "ClassifierDlg.h"
#include ".\classifierdlg.h"
#ifdef _DEBUG
#define new DEBUG_NEW
#endif
// 用于应用程序
www.eeworm.com/read/429426/1948874
py c45.py
# Description: Shows how to use C4.5 learner
# Category: learning
# Classes: C45Learner, C45Classifier
# Uses: iris
# Referenced: C45Learner.htm
import orange
#data = orange.E
www.eeworm.com/read/159608/5582326
m demo_ransac.m
% (c) B. Schoelkopf 1998
%f = figure(1);
%close(f);
f = figure(1);
set(f,'Position',[50 200 800 600],'Name','Support Vector Classifier');
%set(f,'Position',[0 300 567 467]);
clf;
clear;
www.eeworm.com/read/159608/5582327
m demo_reduced.m
% (c) B. Schoelkopf 1998
%f = figure(1);
%close(f);
f = figure(1);
set(f,'Position',[50 200 800 600],'Name','Support Vector Classifier');
%set(f,'Position',[0 300 567 467]);
clf;
clear;