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Harro Walk

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#machine learning Preprint Oct 2026

On k-nearest-neighbor regression in metric spaces

We study mean squared consistency of k-nearest-neighbor regression for metric space valued features. For a fixed feature distribution mu with atomless distance distributions, we describe how neighbor selection redistributes probability through the density of a uniformly chosen neighbor of an independent query. This giv...

L. Györfi, Vladimir G. Pestov, Harro Walk et al. · 0 citations

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