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Joint Feature Selection and Classification for Positive Unlabelled Multi–Label Data Using Weighted Penalized Empirical Risk Minimization Cover

Joint Feature Selection and Classification for Positive Unlabelled Multi–Label Data Using Weighted Penalized Empirical Risk Minimization

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 2 (June 2022)
By: Paweł Teisseyre  
Open Access
|Jul 2022

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DOI: https://doi.org/10.34768/amcs-2022-0023 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 311 - 322
Submitted on: Oct 14, 2021
Accepted on: Jan 25, 2022
Published on: Jul 4, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
positive and unlabelled data,
multi-label classification,
feature selection,
empirical risk minimization
Related subjects:
Mathematics,
Applied mathematics

© 2022 Paweł Teisseyre, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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