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Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data
In the paper we revisit the problem of fitting logistic regression to positive and unlabelled data. There are two key contributions. First, a new light is shed on the properties of frequently used naive method (in which unlabelled examples are treated as negative). In particular we show that naive m...
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| Publicado en: | Computational Science – ICCS 2020 |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7303724/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50423-6_1 |
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