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. Entropy, 25, Article ...

The combination of the MM algorithm and ALS ensures that the objective function decreases monotonically. The proposed algorithm can also be said to be expectation maximization (EM) in the sense of ...

The Intelligent Battery Cycle Life Maximization Algorithm leverages machine learning to monitor and adjust battery behavior in real time.

In recent years, many sparse estimation methods, also known as compressed sensing, have been developed. However, most of these methods presume that the measurement matrix is completely known. We ...

What is behind SpaceX’s success? According to one former top employee, it is something called “The Algorithm.” Tim Berry, head of manufacturing and quality at blended-wing-body startup ...

The convergence of expectation-maximization (EM)-based algorithms typically requires continuity of the likelihood function with respect to all the unknown parameters (optimization variables). The ...

A patent application must describe an invention with adequate detail so that a person skilled in the art can recognize the boundaries of the invention ...