OSSEFS: An online semi-supervised ensemble fuzzy system for data streams learning with missing values

Author:

Yan LuORCID,Zhao TaoORCID,Xie XiangpengORCID,Precup Radu-EmilORCID

Funder

Sichuan Province Science and Technology Support Program

Publisher

Elsevier BV

Reference49 articles.

1. An approach to online identification of Takagi-Sugeno fuzzy models;Angelov;IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics),2004

2. Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning;Bai;Applied Soft Computing,2022

3. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin;Journal of Machine Learning Research,2006

4. Self-learning interval type-2 hierarchical fuzzy system based on rule relevance with online regression prediction application;Cao;Expert Systems with Applications,2023

5. A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data;Chen;Advanced Engineering Informatics,2023

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