A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification-Reference-Cited by-同舟云学术

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A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification

Published:2021 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Xu Yuhong,Yu Zhiwen,Chen C. L. Philip,Cao Wenming

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09448482.pdf?arnumber=9448482

Cited by 16 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. Contrastive subspace distribution learning for novel category discovery in high-dimensional visual data;Knowledge-Based Systems;2024-11

2. Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification;IEEE Transactions on Knowledge and Data Engineering;2024-10

3. An efficient ensemble learning method based on multi-objective feature selection;Information Sciences;2024-09

4. Multi‐view synergistic enhanced fault recording data for transmission line fault classification;IET Communications;2024-05-24

5. Multiple optimized ensemble learning for high-dimensional imbalanced credit scoring datasets;Knowledge and Information Systems;2024-05-23

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