Tabular Data Distillation: An Extensive Comparison
In this paper, we present an extensive evaluation of tabular data distillation methods for downstream classification and regression tasks. Our analysis considers multiple distillation approaches that are problem-type independent (i.e., unsupervised). For downstream learners, we focus on non-neural m...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-03-01
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| Serier: | Machine Learning and Knowledge Extraction |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2504-4990/8/4/84 |
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