GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set-Reference-Cited by-同舟云学术

GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Xia Shuyin¹^ORCID,Wang Cheng¹^ORCID,Wang Guoyin¹^ORCID,Gao Xinbo¹^ORCID,Ding Weiping²^ORCID,Yu Jianhang¹,Zhai Yujia³^ORCID,Chen Zizhong³^ORCID

Affiliation:

1. Ministry of Education, and the Key Laboratory of Big Data Intelligent Computing, Chongqing Key Laboratory of Computational Intelligence, the Key Laboratory of Cyberspace Big Data Intelligent Security, Chongqing University of Posts and Telecommunications, Chongqing, China

2. School of Information Science and Technology, Nantong University, Nantong, China

3. Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10313988.pdf?arnumber=10313988

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1. SGBCD: A Data Discretization Algorithm Based on Granular-ball Computing and Attribute Significance;2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA);2024-02-27

2. GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing;IEEE Transactions on Neural Networks and Learning Systems;2024

3. Coupling learning for feature selection in categorical data;International Journal of Machine Learning and Cybernetics;2023-01-31

4. Granular-Ball Three-Way Decision;Rough Sets;2023