Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria-Reference-Cited by-同舟云学术

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Research on Multi-Label Semi-Supervised Learning Algorithm Based on Dual Selection Criteria

Published:2024 Issue: Volume:12 Page:31357-31365
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Rongxin¹^ORCID,Lu Yufang¹^ORCID,Shi Lei²,Tan Shuru¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Guilin University of Technology, Guilin, China

2. School of Science, Guilin University of Technology, Guilin, China

Funder

2022 Guangxi Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445172.pdf?arnumber=10445172

Reference40 articles.

1. Research on distributed semi supervised learning algorithms;Zhen,2021

2. Research on feature selection methods based on multi label learning theory;Juncheng,2023

3. Research on large-scale semi supervised learning algorithms based on graphs and their applications;Bin,2018

4. The Emerging Trends of Multi-Label Learning

5. Multi-label classification under supervised and semi-supervised learning;Hongxin;Comput. Sci.,2022

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