Kernel Density Estimated Linear Regression
Regression analysis is a cornerstone of predictive modeling, with linear regression and kernel regression standing as two of its most prominent paradigms. However, each approach has inherent limitations: linear regression is highly susceptible to outliers in noisy and unevenly distributed datasets,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139000 |
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