Multi-label learning with Relief-based label-specific feature selection
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04350-1.pdf
Reference44 articles.
1. Sun S, Zong D (2020) Lcbm: a multi-view probabilistic model for multi-label classification. IEEE T Pattern Anal 43(8):2682–2696
2. Law A, Ghosh A (2021) Multi-label classification using binary tree of classifiers. IEEE T Em Top Comp I 6(3):677–689
3. Wever M, Tornede A, Mohr F, Hüllermerier E (2021) AutoML for multi-label classification: overview and empirical evaluation. IEEE T Pattern Anal 43(9):3037–3054
4. Chen Z, Ren J (2021) Multi-label text classification with latent word-wise label information. Appl Intell 51:966–979
5. Zhang P, Liu G, Gao W, Song J (2021) Multi-label feature selection considering label supplementation. Pattern Recogn 120:108137
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