GitHub

ymaher-ds/Collaborative-Filtering-via-Gaussian-Mixtures

This project implements matrix completion for collaborative filtering using Gaussian Mixture Models (GMM) with the Expectation-Maximization (EM) algorithm. The project is specifically designed to ...
GitHub

SVGPR: Stochastic Variational Gaussian Process Regression

A python package for scalable Gaussian process regression, allowing for simultaneous inference of both a dataset's latent function and input-dependent noise profile. Originally developed for ...
IEEE

A Matrix Information Geometry Detector Based on Riemannian Gaussian Distribution for Radar Detection in Clutter Backgrounds

Abstract: Detectors based on matrix information geometry have been developed recently and demonstrated advantages against conventional methods for detection of targets within nonhomogeneous clutter ...
IEEE

Sequential randomized matrix factorization for Gaussian processes

Abstract: The Gaussian process framework models a function as a stochastic process such that the training data results into a finite number of jointly Gaussian random variables, whose properties can ...
JSTOR Daily

Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries

Graphical Gaussian models with edge and vertex symmetries were introduced by Højsgaard & Lauritzen (2008), who gave an algorithm for computing the maximum likelihood estimate of the precision matrix ...