Fuzzy Decision Trees for Small Data Analysis: Interpretable Learning From Limited Samples
Machine learning with small datasets presents well-known challenges, including overfitting and unreliable estimates. While fuzzy logic provides a framework for handling uncertainty, existing approaches often require manual tuning and lack integrated mechanisms optimized for small datasets. To addres...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2026-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/11403953/ |
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