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https://elib.bsu.by/handle/123456789/339946Полная запись метаданных
| Поле DC | Значение | Язык |
|---|---|---|
| dc.contributor.author | Berikov, V. B. | |
| dc.contributor.author | Kutnenko, O. A. | |
| dc.date.accessioned | 2026-01-13T10:14:40Z | - |
| dc.date.available | 2026-01-13T10:14:40Z | - |
| dc.date.issued | 2025 | |
| dc.identifier.citation | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 47-51. | |
| dc.identifier.isbn | 978-985-881-830-2 | |
| dc.identifier.uri | https://elib.bsu.by/handle/123456789/339946 | - |
| dc.description.abstract | The paper considers weakly supervised learning problem, also known as multiple instance learning, or learning on multisets. A method for its solution based on the selection of informative features, filtering of the training sample and ensemble classification is developed. The results of an experimental study of the algorithm using a protein identification dataset are presented | |
| dc.description.sponsorship | The work was supported by the State Contract of Sobolev Institute of Mathematics, project FWNF-2022-0015. | |
| dc.language.iso | en | |
| dc.publisher | Minsk : BSU | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика | |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | |
| dc.title | Multiple instance learning based on sample self-correction, feature selection and ensemble classification | |
| dc.type | conference paper | |
| Располагается в коллекциях: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science | |
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