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单词 ensemble learning
释义

ensemble learning

  • 网络集成学习;整体学习;集成学习综述
1.
集成学习
根据集成学习 (ensemble learning) 理论,将这些分类器进行某种形式的集成可以有效的降低分类错误率。因此,我们提出 采用 …
www.docin.com
2.
整体学习
整体学习ensemble learning)和半监督学习(semi-supervised learning)是常用的提高分类准确率的手段。为了减少网络数 …
sist.sysu.edu.cn
3.
集成学习综述
ChinaPrj资源下载 > 数据库 > 其它 > 集成学习综述(ensemble learning) 本站资源全部由网友提供,版权归其作者所有,如无意 …
www.chinaprj.cn
4.
集成学习法
它是一种重要的集成学习法Ensemble learning) ,针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类 (We…
wenku.baidu.com
5.
指出集成学习
基于特征学习的网络入侵检测... ... 指出集成学习Ensemble Learning) 报警 图 2-1 误用检测模型 Fig2-1 Misuse Detection M…
www.03964.com
6.
集成进修
...智系统”(KAPS)来历于一个根基的人工智能理论:集成进修(Ensemble Learning),即经由过程人群的配合协作,综合分歧的小 …
www.caikuu.com
7.
多种机器学习方法集成
2.2.4 多种机器学习方法集成(Ensemble Learning)21
cdmd.cnki.com.cn

例句

释义:
1.
Using Q statistic to measure the diversity of a pair of learners, a new selective ensemble learning method for decision tree is proposed.
使用Q统计量度量两个学习器的差异度,提出一种新的决策树选择性集成学习方法。
ceaj.org
2.
The key of a good ensemble learning algorithm is able to generate the diversity of individual learners.
一个好的集成学习算法,关键是能生成差异度大的个体分类器。
www.boshuo.net
3.
Diversity among the individual learners is deemed to be a key issue in ensemble learning.
个体学习器的差异度是集成学习中的关键因素。
ceaj.org
4.
Diversity among base classifiers is known to be an important factor for improving generalization performance in ensemble learning.
差异性是提高分类器集成泛化性能的重要因素。
www.ceaj.org
5.
The Nanjing University Professor Zhi-Hua Zhou proposed the concept of selective ensemble learning.
南京大学周志华教授提出选择性集成学习的概念。
www.boshuo.net
6.
However, with the increase in individual learner, the diversity between learners is smaller, and ensemble learning accuracy is worse.
然而,随着个体分类器的增多,个体分类器之间的差异度就越小,集成学习的精确度反而下降。
www.boshuo.net
7.
It includes the origin, definition, the main technical, and diversity of the selective ensemble learning.
包括选择性集成学习的起源、定义、主要技术,和集成学习中流行的差异度。
www.boshuo.net
8.
The studies have shown that ensemble learning can significantly improve the generalization ability of machine learning systems.
研究表明集成学习能明显提高机器学习系统的泛化能力。
www.boshuo.net
9.
Subspace methods for face recognition , image representation , image metric, and ensemble learning .
子空间法人脸识别,图像的表示,图像距离度量,多分类器组合。
www.bing.com
10.
As a rapidly developing new area, clustering ensemble has become an important research in ensemble learning.
聚类集成作为一个迅速发展的新领域,已成为集成学习中一个重要的研究方向。
www.boshuo.net
1.
Researchers have paid close attention to ensemble learning method increasingly, which is one of the four subjects in the machine learning.
集成学习方法作为机器学习研究领域的四大主题之一,越来越受到研究者的关注。
www.13191.com
2.
The diversity in the ensemble learning is an important concept.
差异度是集成学习中的一个重要概念。
www.boshuo.net
3.
In this thesis, some research on feature selection and ensemble learning and their applications in intrusion detection are carried out.
本文将围绕特征选择、集成学习及其在入侵检测中的应用三个方面展开研究。
202.119.108.211
4.
So, people begin to contact the ensemble learning with face recognition method.
本文研究了基于集成学习的人脸识别方法。
www.boshuo.net
5.
Ensemble learning is a general method for classifying data streams.
对数据流分类分析的常用方法是集成学习。
kns50.chkd.cnki.net
6.
The Ensemble Learning is a hotspot in the intelligent learning field.
在智能学习领域,集成学习是一个新的研究热点。
www.fabiao.net
7.
Then, an improved multi-class SVM based on ensemble learning is constructed to classify and recognize these ROIs.
然后,构建了一种基于集成学习改进的多分类支持向量机,对候选区域进行分类识别。
www.ceps.com.tw
8.
Study of integration method for multiple classifiers on ensemble learning
集成学习的多分类器动态融合方法研究
ilib.cn
9.
A Study of Ensemble Learning Algorithm for Classification
基于分类的集成学习算法研究
www.ilib.cn
10.
Feature Selection for Ensemble Learning
集成学习中特征选择技术
www.ilib.cn
1.
Distributed clustering algorithm based on ensemble learning
一种基于集成学习的分布式聚类算法
www.ilib.cn
2.
An Intelligent Intrusion Detection System Based on Ensemble Learning
基于集成学习的智能入侵检测系统
service.ilib.cn
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更新时间:2024/11/14 11:30:53