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Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment
In this study, we propose dynamic model update methods for the adaptive classification model of text streams in a distributed learning environment. In particular, we present two model update strategies: (1) the entire model update and (2) the partial model update. The former aims to maximize the mod...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736177/ https://www.ncbi.nlm.nih.gov/pubmed/36501999 http://dx.doi.org/10.3390/s22239298 |