Estimating the class prior for positive and unlabelled data via logistic regression

DOI10.1007/s11634-021-00444-9OpenAlexW3172877144MaRDI QIDQ2673353

Jan Mielniczuk, Paweł Teisseyre, Małgorzata Łazȩcka

Publication date: 9 June 2022

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-021-00444-9

zbMATH Keywords

logistic regressionminorization-maximization algorithmnon-convex optimisationclass prior estimationpositive unlabelled learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)

Related Items (3)

Revisiting strategies for fitting logistic regression for positive and unlabeled data ⋮ Joint feature selection and classification for positive unlabelled multi-label data using weighted penalized empirical risk minimization ⋮ Bayesian logistic model for positive and unlabeled data

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