Improved Double-Layer Structure Multilabel Classification Model via Optimal Sequence and Attention Mechanism
Liu, Geqiao1,2; Tan, Mingjie1,2
2022-11-22
发表期刊COMPLEXITY
ISSN1076-2787
卷号2022
摘要Multilabel classification is a key research topic in the machine learning field. In this study, the author put forward a two/two-layer chain classification algorithm with optimal sequence based on the attention mechanism. This algorithm is a classification model with a two-layer structure. By introducing an attention mechanism, this study analyzes the key attributes to achieve the goal of classification. To solve the problem of algorithm accuracy degradation caused by the order of classifiers, we adopt the OSS (optimal sequence selection) algorithm to find the optimal sequence of tags. The test results based on the actual dataset show that the ATDCC-OS algorithm has good performance on all performance evaluation metrics. The average accuracy of this algorithm is over 80%. The microaverage AUC performance reaches 0.96. In terms of coverage performance, its coverage performance is below 10%. The comprehensive result of single error performance is the best. The loss performance is about 0.03. The purpose of the ATDCC-OS algorithm proposed in the study is to help improve the accuracy of multilabel classification so as to obtain more effective data information.
DOI10.1155/2022/7413588
收录类别SCIE
语种英语
资助项目Key Research Project of Education Department of Sichuan Province of China [18ZA319]
WOS研究方向Mathematics ; Science & Technology - Other Topics
WOS类目Mathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS记录号WOS:000903656900001
出版者WILEY-HINDAWI
原始文献类型Article
EISSN1099-0526
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.library.ouchn.edu.cn/handle/39V7QQFX/155789
专题国家开放大学
通讯作者Liu, Geqiao
作者单位1.Open Univ Sichuan, Coll Engn & Technol, Chengdu 610073, Peoples R China;
2.Open Univ China, Res Ctr Educ Informat Management & Informat Syst, Beijing 100039, Peoples R China
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GB/T 7714
Liu, Geqiao,Tan, Mingjie. Improved Double-Layer Structure Multilabel Classification Model via Optimal Sequence and Attention Mechanism[J]. COMPLEXITY,2022,2022.
APA Liu, Geqiao,&Tan, Mingjie.(2022).Improved Double-Layer Structure Multilabel Classification Model via Optimal Sequence and Attention Mechanism.COMPLEXITY,2022.
MLA Liu, Geqiao,et al."Improved Double-Layer Structure Multilabel Classification Model via Optimal Sequence and Attention Mechanism".COMPLEXITY 2022(2022).
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