Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.
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) ...
While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...
For the first time, Instagram will start letting you control the topics its algorithm recommends, much as you now can on TikTok. The new feature is starting with the Reels tab but will eventually come ...
We like to think we are objective observers of reality—that we see things exactly as they are. But the truth is, we mostly see what we expect to see. The brain is not a passive recorder of experience, ...
Instagram is back with a new feature that will allow users to "tune" their algorithm to only display the content they prefer to see, which will be first made available to Reels. The feature is still ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.
Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States ...
In the original published article, there were typographical errors in mathematical formulas (Equations 58, 59, 73, and 74). The equations were derived and implemented correctly in the computer program ...
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 ...