A New Text Semi-supervised Multi-label Learning Model Based on Using the Label-Feature Relations-Reference-Cited by-同舟云学术

A New Text Semi-supervised Multi-label Learning Model Based on Using the Label-Feature Relations

Published:2018 Issue: Volume: Page:403-413
ISSN:0302-9743
Container-title:Computational Collective Intelligence
language:
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Author:

Ha Quang-Thuy,Pham Thi-Ngan,Nguyen Van-Quang,Nguyen Minh-Chau,Pham Thanh-Huyen,Nguyen Tri-Thanh

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-98443-8_37

Reference16 articles.

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4. Kong, X., Ng, M.K., Zhou, Z.-H.: Transductive multilabel learning via label set propagation. IEEE Trans. Knowl. Data Eng. 25(3), 704–719 (2013)

5. Pham, T.-N., Nguyen, V.-Q., Tran, V.-H., Nguyen, T.-T., Ha, Q.-T.: A semi-supervised multi-label classification framework with feature reduction and enrichment. J. Inf. Telecommun. 1(2), 141–154 (2017)

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