A three-way selective ensemble model for multi-label classification

DOI10.1016/j.ijar.2018.10.009zbMath1448.68431OpenAlexW2897272669MaRDI QIDQ1726309

Duoqian Miao, Yuanjian Zhang, Jianfeng Xu, Sheng Luo, Zhi-Fei Zhang

Publication date: 20 February 2019

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2018.10.009

zbMATH Keywords

uncertaintymulti-label classificationprobabilistic rough setthree-way decisionsselective ensemble

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (13)

Label distribution feature selection for multi-label classification with rough set ⋮ Multi-label learning via minimax probability machine ⋮ A novel three-way group investment decision model under intuitionistic fuzzy multi-attribute group decision-making environment ⋮ New measures of alliance and conflict for three-way conflict analysis ⋮ Three-way confusion matrix for classification: a measure driven view ⋮ Extending characteristic relations on an incomplete data set by the three-way decision theory ⋮ Three-way dual concept analysis ⋮ Three-way granular computing, rough sets, and formal concept analysis ⋮ Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions ⋮ Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes ⋮ A model of three-way decisions for knowledge harnessing ⋮ Selective label enhancement for multi-label classification based on three-way decisions ⋮ Formal concept analysis perspectives on three-way conflict analysis

Uses Software

• MULAN
• ML-KNN
• MEKA
• LibD3C
• MLTSVM
• PASCAL VOC

Cites Work

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• Three-way attribute reducts
• Rough sets
• Sentiment analysis of text based on three-way decisions
• Deep Label Distribution Learning With Label Ambiguity
• Multilabel Classification with Principal Label Space Transformation
• On Reduct Construction Algorithms

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