Multi-Label Learning with Emerging New Labels-Reference-Cited by-同舟云学术

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Multi-Label Learning with Emerging New Labels

Published:2018-10-01 Issue:10 Volume:30 Page:1901-1914
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhu Yue^ORCID,Ting Kai Ming,Zhou Zhi-Hua^ORCID

Funder

NSFC

111 Project

Collaborative Innovation Center of Novel Software Technology and Industrialization

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/8458057/08305522.pdf?arnumber=8305522

Cited by 54 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

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4. Improvement of a Classifier Using Adaptive Resonance Theory-Based Clustering for Multi-Label Mixed Data;Journal of Japan Society for Fuzzy Theory and Intelligent Informatics;2024-02-15

5. Online Multi-Label Classification with Scalable Margin Robust to Missing Labels;2023 IEEE International Conference on Knowledge Graph (ICKG);2023-12-01

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