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Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data Cover

Revisiting Strategies for Fitting Logistic Regression for Positive and Unlabeled Data

International Journal of Applied Mathematics and Computer Science
Volume 32 (2022): Issue 2 (June 2022)
By:
Open Access
|Jul 2022
DOI: https://doi.org/10.34768/amcs-2022-0022 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 299 - 309
Submitted on: Nov 5, 2021
Accepted on: Feb 10, 2022
Published on: Jul 4, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
positive and unlabeled learning,
empirical risk,
logistic regression,
concave-convex optimization
Related subjects:
Mathematics,
Applied mathematics

© 2022 Adam Wawrzeńczyk, Jan Mielniczuk, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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