Co-op Training: a Semi-supervised Learning Method for Data Streams-Reference-Cited by-同舟云学术

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Co-op Training: a Semi-supervised Learning Method for Data Streams

Published:2021-10-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Monteiro Paulo Martins,Soares Elvys,de Barros Roberto Souto Maior

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09658598.pdf?arnumber=9658598

Reference39 articles.

1. Online AdaBoost-based methods for multiclass problems

2. Fast adaptive stacking of ensembles

3. Co-training Based on Semi-Supervised Ensemble Classification Approach for Multi-label Data Stream

4. A large-scale comparison of concept drift detectors

5. Improving semi-supervised co-forest algorithm in evolving data streams

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimenting with Supervised Drift Detectors in Semi-supervised Learning;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

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