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 ...
Herald-Banner

Recognizing the people whose steady work makes city government function

The City of Greenville’s Employee of the Year awards are not meant to be a just a recitation of résumés. At their best, they serve as a moment of reflection – a pause to recognize the people whose ...
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 ...