典型文献
Classification with ensembles and case study on functional magnetic resonance imaging
文献摘要：
The ensemble is a technique that strategically combines basic models to achieve better accuracy rates.Diversity,combination methods,and selection topology are the main factors determining ensemble performance.Conse-quently,it is a challenging task to design an efficient ensemble scheme.Even though numerous paradigms have been proposed to classify ensemble schemes,there is still much room for improvement.This paper proposes a general framework for creating ensembles in the context of classification.Specifically,the ensemble framework consists of four stages:objectives,data preparing,model training,and model testing.It is comprehensive to design diverse ensembles.The proposed ensemble approach can be used for a wide variety of machine learning tasks.We validate our approach on real-world datasets.The experimental results show the efficiency of the proposed approach.
文献关键词：
中图分类号：
作者姓名：
Adnan OM.Abuassba;Zhang Dezheng;Hazrat Ali;Fan Zhang;Khan Ali
作者机构：
Department of Computer Science,Arab Open University-Palestine,Ramallah,Palestine;Department of Computer Science and Communication Engineering,University of Science and Technology Beijing,China and Beijing Key Laboratory of Knowledge Engineering for Materials Science,Beijing,100083,China;Department of Electrical and Computer Engineering COMSATS University Islamabad,Abbottabad Campus,Abbottabad,Pakistan
文献出处：
引用格式：
[1]Adnan OM.Abuassba;Zhang Dezheng;Hazrat Ali;Fan Zhang;Khan Ali-.Classification with ensembles and case study on functional magnetic resonance imaging)[J].数字通信与网络（英文）,2022(01):80-86
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B类：
Classification,ensembles,case,study,functional,magnetic,resonance,imaging,technique,that,strategically,combines,basic,models,achieve,better,accuracy,rates,Diversity,combination,methods,selection,topology,are,main,factors,determining,performance,Conse,quently,challenging,design,efficient,Even,though,numerous,paradigms,have,been,proposed,classify,schemes,there,still,much,room,improvement,This,paper,proposes,general,framework,creating,context,classification,Specifically,consists,four,stages,objectives,preparing,training,testing,It,comprehensive,diverse,approach,can,used,wide,variety,machine,learning,tasks,We,validate,real,world,datasets,experimental,results,show,efficiency
AB值：
0.685235
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