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Arxiv
2d
218
Image Credit: Arxiv
A distance for mixed-variable and hierarchical domains with meta variables
- A modeling framework is introduced to generalize hierarchical and mixed-variable domains with meta variables.
- The framework allows comparison of mixed-variable points that don't share the same variables.
- The methodology is applied to regression and classification experiments using distance-based models.
- Experiments utilize datasets of hyperparameters and performance scores.
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