Label Confidence Based Ensemble Partial Label Learning
Author:
Affiliation:
1. Yunnan University,School of information Science and Engineering,Kunming,Yunnan,China,650504
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10262403/10262831/10263052.pdf?arnumber=10263052
Reference29 articles.
1. Partial multi-label learning via probabilistic graph matching mechanism;gengyu;ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2020
2. A brief introduction to weakly supervised learning;zhi-hua;National Science Review,2018
3. A regularization approach for instance-based superset label learning;chen;IEEE Transactions on Cybernetics,2018
4. Partial multi-label learning with noisy label identification;ming-kun;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021
5. Weakly supervised POS tagging without disambiguation;deyu;ACM Transactions on Asian and Low-Resource Language Information Processing,2018
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