Abstract: We consider bandwidth selection for kernel density estimation. The performance of kernel density estimator heavily relies on the quality of the bandwidth. In this paper, we propose an ...

Traditional Neighborhood Design promotes increased density with a mix of housing types, walkable neighborhoods with a blend of shopping, restaurants and other amenities. TND is what makes downtown ...

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...

Jaguar numbers in the Amazon Rainforest may be higher than previous estimates, according to a new large-scale study that offers the most comprehensive population snapshot to date. Using camera-trap ...

We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...

Density estimation methods often involve kernels, but there are advantages to using splines. Especially if the shape of the density is known to be decreasing, or unimodal, or bimodal, or if the ...

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

A wolverine walks across the snow in 2018 near the Toolik Field Station on Alaska's North Slope. Wolverines are elusive and need a lot of space, so they are hard to count, but a new study gives an ...

Abstract: This paper proposes a data-driven robust scheduling method for power systems incorporating variable energy. Robust kernel density estimation (RKDE) is combined with distributionally robust ...