Charlebois: Get ready for grocery store AI to dictate what you pay for food

At one Seattle grocery store, identical baskets ranged from roughly $114 to $124, a spread of more than nine dollars on a ...
GitHub

expectation-maximization-algorithm

Add a description, image, and links to the expectation-maximization-algorithm topic page so that developers can more easily learn about it.
Forbes

LinkedIn's Algorithm Exposed: What They're Not Telling You About Getting Seen In 2025

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...
The New York Times

U.S.-Run TikTok to License Algorithm, White House Says

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...
C&EN

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm

Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States ...
IEEE

Maximum Likelihood Estimation for Line Parameters in Distribution Grids Based on Expectation Maximization Algorithm

Abstract: This paper proposes a method for obtaining nonlinear models of distribution grid based on available measurements from the power grid. We formulate a maximum likelihood estimation (MLE) ...
Frontiers

Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
Scientific Research Publishing

Zakkour, A., Perret, C. and Slaoui, Y. (2023) Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
Scientific Research Publishing

Missing Data Handling: A Comprehensive Review, Taxonomy, and Comparative Evaluation ()

Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability of decision ...