IEEE

Pairwise Learning With Gaussian Empirical Gain Function

Abstract: This article investigate the performance of Gaussian Empirical Gain Maximization (EGM) in a regression setting and conduct a detailed theoretical analysis, particularly in the presence of ...
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 ...
IEEE

Data-Driven Closed-Loop Reachability Analysis for Nonlinear Human-in-the-Loop Systems Using Gaussian Mixture Model

Abstract: This article presents data-driven algorithms to perform the reachability analysis of nonlinear human-in-the-loop (HITL) systems. Such systems require consideration of the human control ...
People

Woman Says Her Husband Is Upset She Chose a Work Event Over a Family Function

The woman said her husband is “threatening divorce” because she’s going to a work event Latoya Gayle joined PEOPLE as an Associate Editor in 2024. Her work has previously appeared in The U.S. Sun, ...
Reuters

Exclusive: Google works to erode Nvidia's software advantage with Meta's help

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...