Overcoming Long Inference Time of Nearest Neighbors Analysis in Regression and Uncertainty Prediction
František Koutenský,
Petr Šimánek,
Miroslav Čepek
et al.
Abstract:The intuitive approach of comparing like with like, forms the basis of the so-called nearest neighbor analysis, which is central to many machine learning algorithms. Nearest neighbor analysis is easy to interpret, analyze, and reason about. It is widely used in advanced techniques such as uncertainty estimation in regression models, as well as the renowned k-nearest neighbor-based algorithms. Nevertheless, its high inference time complexity, which is dataset size dependent even in the case of its faster approx… Show more
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