A Review on Dimensionality Reduction for Multi-label Classification-Reference-Cited by-同舟云学术

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A Review on Dimensionality Reduction for Multi-label Classification

Published:2019 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:

Siblini Wissam,Kuntz Pascale,Meyer Frank

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/08827953.pdf?arnumber=8827953

Cited by 38 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. Multi-label feature selection based on nonlinear mapping;Information Sciences;2024-10

2. A survey on multi-label feature selection from perspectives of label fusion;Information Fusion;2023-12

3. Supervised dimensionality reduction for multi-dimensional classification;SCIENTIA SINICA Informationis;2023-12-01

4. A Novel Label Selection Algorithm Based on Principal Component Analysis and Sparse Approximation Solution for Multi-label Classification*;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

5. Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-10

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