Hierarchical Feature Selection Based on Label Distribution Learning-Reference-Cited by-同舟云学术

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Hierarchical Feature Selection Based on Label Distribution Learning

Published:2022 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:

Lin Yaojin¹,Liu Haoyang¹,Zhao Hong¹,Hu Qinghua²,Zhu Xingquan³,Wu Xindong⁴

Affiliation:

1. School of Computer Science, Minnan Normal University, 58299 Zhangzhou, Fujian, China

2. Computer Science and Technology, Tianjin University, Tianjin, Tianjin, China

3. Dept. of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida, United States

4. Computer Science, University of Vermont, Burlington, Vermont, United States, 05405

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09780159.pdf?arnumber=9780159

Reference48 articles.

1. Protein Folds Prediction with Hierarchical Structured SVM

2. A new sampling method in particle filter based on Pearson correlation coefficient

3. Hierarchical feature selection with multi-granularity clustering structure

4. An automatic three-way clustering method based on sample similarity

5. To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques

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