Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

Hamed Bonab; Fazli Can

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Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

机译：少即是：集成分类器组件数量的综合框架

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摘要

The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for

机译：为集成选择的组件分类器的数量极大地影响了预测能力。在本文中，我们使用几何框架

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来源
《Neural Networks and Learning Systems, IEEE Transactions on》 |2019年第9期|2735-2745|共11页
作者
Hamed Bonab; Fazli Can;
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作者单位

College of Information and Computer Sciences University of Massachusetts Amherst Amherst MA USA;

Computer Engineering Department Bilkent Information Retrieval Group Bilkent University Ankara Turkey;

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原文格式 PDF
正文语种 eng
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关键词
Information retrieval; Diversity reception; Task analysis; Supervised learning; Bagging; Big Data;

机译：信息检索;多样性接待;任务分析;监督学习;套袋大数据;

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1. Proposing a classifier ensemble framework based on classifier selection and decision tree [J] . Hamid Parvin, Miresmaeil MirnabiBaboli, Hamid Alinejad-Rokny Engineering Applications of Artificial Intelligence . 2015,第jana期

机译：提出基于分类器选择和决策树的分类器集成框架
2. Comprehensive benchmarking and ensemble approaches for metagenomic classifiers [J] . Pierre J. Fabre, Marion Leleu, Benjamin H. Mormann, Genome Biology . 2017,第1期

机译：适用于宏基因组分类器的全面基准测试和集成方法
3. An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors [J] . Chengjin Zhang, Christo Z. Christov, Lina Zhang, International Journal of Molecular Sciences . 2015,第9期

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4. Kernel Independent Component Analysis-Based Prediction on the Protein O-Glycosylation Sites Using Support Vectors Machine and Ensemble Classifiers [C] . Zehao Chen International conference on advanced intelligent computing theories and applications . 2015

机译：使用支持向量机和集成分类器对蛋白质O-糖基化位点进行基于核独立成分分析的预测
5. The Ensemble MeSH-Term Query Expansion Models Using Multiple LDA Topic Models and ANN Classifiers in Health Information Retrieval [D] . You, Sukjin. 2020

机译：使用多个LDA主题模型和健康信息检索的ANN分类器的集合网格术语查询型号
6. Correction to: Comprehensive benchmarking and ensemble approaches for metagenomic classifiers [O] . Alexa B. R. McIntyre, Rachid Ounit, Ebrahim Afshinnekoo, 2019

机译：更正为：用于宏基因组分类器的全面基准测试和集成方法
7. Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers [O] . Hamed Bonab, Fazli Can 2019

机译：更少的是：集合分类器的组件数量的全面框架

Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

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