https://libeldoc.bsuir.by/handle/123456789/59910| Title: | Artificial intelligence learning methods |
| Authors: | Bregid, R. D. Anisckovets, A. R. |
| Keywords: | материалы конференций;artificial intelligence;Supervised Learning;Unsupervised Learning |
| Issue Date: | 2025 |
| Publisher: | БГУИР |
| Citation: | Bregid, R. D. Artificial intelligence learning methods / R. D. Bregid, А. R. Anisckovets // Электронные системы и технологии : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Д. В. Лихаческий [и др.]. – Минск, 2025. – С. 992–993. |
| Abstract: | The report focuses on artificial intelligence (AI) learning, focusing on three main categories: Supervised Learning, Unsupervised Learning and Reinforcement Learning. The differences, pros and cons of these methods, as well as the situations in which they are used, are described. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/59910 |
| Appears in Collections: | Электронные системы и технологии : материалы 61-й конференции аспирантов, магистрантов и студентов (2025) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Bregid_Artificial.pdf | 540.32 kB | Adobe PDF | View/Open |
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