Tag: depth
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Next-Depth Lookahead Tree
Next-Depth Lookahead Tree arXiv:2509.15143v1 Announce Type: new Abstract: This paper proposes the Next-Depth Lookahead Tree (NDLT), a single-tree model designed to improve performance by evaluating node splits not only at the node being optimized but also by evaluating the quality of the next depth level. Jaeho Lee, Kangjin Kim, Gyeong Taek Lee Go to original…
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Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces arXiv:2506.08325v1 Announce Type: new Abstract: Depth measures are powerful tools for defining level sets in emerging, non–standard, and complex random objects such as high-dimensional multivariate data, functional data, and random graphs. Despite their favorable theoretical properties, the integration of…