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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 12 doi: 10.1631/FITEE.2200053
Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised fault classification
Affiliation(s): Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou 310018, China; Mechanical and Electrical Engineering Department, Zhejiang Tongji Vocational College of Science and Technology, Hangzhou 311231, China; Suzhou Institute of Metrology, Suzhou 215004, China; less
Abstract
Keywords
Semi-supervised ; Active learning ; Ensemble learning ; Mixture discriminant analysis ; Fault classification
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