Infinite Label Selection Method for Mutil-label Classification-Reference-Cited by-同舟云学术

Infinite Label Selection Method for Mutil-label Classification

Published:2023 Issue: Volume: Page:361-372
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Pan Yuchen,Li Jun,Xu Jianhua

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1639-9_30

Reference23 articles.

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2. Barezi, E.J., Wood, I.D., Fung, P., Rabiee, H.R.: A submodular feature-aware framework for label subset selection in extreme classification problems. In: Proceedings of the 2019 Conference of the North, pp. 1009–1018 (2019)

3. Belohlavek, R., Outrata, J., Trnecka, M.: Toward quality assessment of boolean matrix factorizations. Inf. Sci. 459, 71–85 (2018)

4. Bhatia, K., Jain, H., Kar, P., Varma, M., Jain, P.: Sparse local embeddings for extreme multi-label classification. In: Neural Information Processing Systems, pp. 730–738 (2015)

5. Bi, W., Kwok, J.: Efficient multi-label classification with many labels. In: International Conference on Machine Learning, pp. 405–413 (2013)

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