ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
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 ...
CONVERGE LIVE - Singapore, 22-23 April 2026. Request invitation. The chances that the U.S. will experience a recession in 2025 have increased because of the tariffs it has implemented, Alec Kersman, ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Abstract: Probability estimation measures the likelihood of different outcomes in a statistical context. It commonly involves estimating either the parameters or the entire distribution of a random ...
Umama Ali spent more time as a kid arguing with his brother over who caused the most chaos in GTA Vice City than doing homework, and he’s been unapologetically hooked on games ever since. That ...
1 School of Software, Taiyuan University of Technology, Taiyuan, Shanxi, China 2 Information Management Department, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China Introduction: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results