GitHub

Fast Gaussian Kernel Density Estimation

Fast Gaussian kernel density estimation in 1D or 2D. Creates a new 1D density estimator for the input data. Returns an estimator object that includes the methods listed below, and also provides an ...
Nature

Density functional theory articles from across Nature Portfolio

Density functional theory is computational technique used to predict the properties of molecules and bulk materials. It is a method for investigating the electronic structure of many-body systems and ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

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 ...
BMJ

Low bone mineral density is two to three times more prevalent in non-athletic premenopausal women than in elite athletes: a comprehensive controlled study

1 The Norwegian University of Sport and Physical Education, Oslo, Norway Correspondence to: Monica Klungland Torstveit The Norwegian University of Sport and Physical Education, PO Box 4014, Ullevaal ...
IEEE

A Virtual Sample Generation Method Based on Kernel Density Estimation and Copula Function for Imbalanced Classification

Abstract: In the case of imbalanced data, classification models often achieve low accuracy. To solve this problem, this paper proposes a virtual sample generation method based on kernel density ...
IEEE

Multiclass Generalized Labeled Multi-Bernoulli Filter With Kernel Density Estimation for Target Tracking in Unknown Backgrounds

Abstract: In multitarget tracking (MTT), the prior information of background parameters, such as clutter intensity and detection probability, exerts a significant influence on the performance of the ...