Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification
Author:
Affiliation:
1. Hefei University of Technology,Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education
Funder
Natural Science Foundation of China
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892701.pdf?arnumber=9892701
Reference23 articles.
1. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
2. Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification
3. Dynamic extreme learning machine for data stream classification
4. A semi-supervised online sequential extreme learning machine method
5. Online recurrent extreme learning machine and its application to time-series prediction
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1. Balancing efficiency vs. effectiveness and providing missing label robustness in multi-label stream classification;Knowledge-Based Systems;2024-04
2. A survey on multi-label feature selection from perspectives of label fusion;Information Fusion;2023-12
3. Online Multi-Label Classification with Scalable Margin Robust to Missing Labels;2023 IEEE International Conference on Knowledge Graph (ICKG);2023-12-01
4. An extreme learning machine algorithm for semi-supervised classification of unbalanced data streams with concept drift;Multimedia Tools and Applications;2023-10-02
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