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/493206/6398460
mat classifier.mat
www.eeworm.com/read/493206/6398582
m classifier.m
function fig = classifier()
% This is the machine-generated representation of a Handle Graphics object
% and its children. Note that handle values may change when these objects
% are re-created. T
www.eeworm.com/read/410924/11265024
m classifier.m
function fig = classifier()
% This is the machine-generated representation of a Handle Graphics object
% and its children. Note that handle values may change when these objects
% are re-created. T
www.eeworm.com/read/408453/11387763
cpp classifier.cpp
// Classifier.cpp: implementation of the CClassifier class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "svmcls.h"
#include "Classifie
www.eeworm.com/read/408453/11387803
h classifier.h
// Classifier.h: interface for the CClassifier class.
//
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_CLASSIFIER_H__FA4DB8D8_AC36_44A8_884B_0D715575B7A1
www.eeworm.com/read/407916/11408571
cpp classifier.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 free s
www.eeworm.com/read/407916/11408589
h classifier.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 free s
www.eeworm.com/read/405069/11472164
mat classifier.mat
www.eeworm.com/read/405069/11472290
m classifier.m
function fig = classifier()
% This is the machine-generated representation of a Handle Graphics object
% and its children. Note that handle values may change when these objects
% are re-created. T
www.eeworm.com/read/252978/12252010
java classifier.java
package learner;
public interface Classifier {
public double test(Datastructure[] testdata);
public int classify(double data);
public double[] crossvalidate(int folds);
public double