Hierarchical multilabel classification by exploiting label correlations-Reference-Cited by-同舟云学术

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Hierarchical multilabel classification by exploiting label correlations

Published:2021-09-13 Issue:1 Volume:13 Page:115-131
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Xu Zhikang,Zhang Bofeng^ORCID,Li Deyu,Yue Xiaodong

Funder

National Natural Science Foundation of China

Open Project Foundation of Intelligent Information Processing Key Laboratory of Shanxi Province

the Key R&D program of Shanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-021-01371-z.pdf

Reference42 articles.

1. Bi W, Kwok JT (2015) Bayes-optimal hierarchical multilabel classification. IEEE Trans Knowl Data Eng 27(11):2907–2918

2. Bi W, Kwok JT (2012) Hierarchical multilabel classification with minimum Bayes risk. In: 2012 IEEE 12th International Conference on Data Mining, pp 101–110. IEEE

3. Bielza C, Li G, Larranaga P (2011) Multi-dimensional classification with Bayesian networks. Int J Approx Reason 52(6):705–727

4. Cerri R, Barros CR, de Carvalho ACPLF, Jin Y (2016) Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinform 17(1):373

5. Cesa-Bianchi N, Gentile C, Zaniboni L (2006) Incremental algorithms for hierarchical classification. J Mach Learn Res 7(Jan):31–54

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