Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications
Antony, J and Jalušić, D and Bergweiler, S and Hajnal, Ákos and Žlabravec, V and Emődi, Márk Benjámin and Strbad, D and Legler, T and Marosi, Attila (2024) Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications. JOURNAL OF GRID COMPUTING, 22 (4). ISSN 1570-7873 10.1007/s10723-024-09785-z
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Official URL: https://doi.org/10.1007/s10723-024-09785-z
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Laboratory of Parallel and Distributed Systems |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 11 Dec 2024 07:03 |
| Last Modified: | 11 Dec 2024 07:03 |
| URI: | https://eprints.sztaki.hu/id/eprint/10817 |
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