Abstract: This article presents a method for estimating a linear time-varying approximation of a general class of nonlinear time-varying (NLTV) systems. It starts from noisy measurements of the ...
Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...
ABSTRACT: Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating ...
Add a description, image, and links to the linear-noise-approximation topic page so that developers can more easily learn about it.
The four-year-old startup founded by three Finns is already used by fellow startups like Cohere, Ramp and Runway. It’s now valued at about $400 million as it makes a big-business push. Other startups ...
Savannah is a news producer turned professional homebody. As the Home Assistant Editor at Apartment Therapy, contributing writer at Forbes, and Lifestyle Blogger, she loves creating content centered ...
Generalized linear latent variable models (GLLVMs) are a powerful class of models for understanding the relationships among multiple, correlated responses. Estimation, however, presents a major ...
“Perspective,” said John Berger, “makes the single eye the centre of the visible world.” For Berger, perspectival representation is not just a matter of being "realistic." In presenting the world to ...
Even as a practitioner who works with autistic women, and as an autistic woman myself, understanding what exactly autism spectrum disorder is can be difficult. We tend to think of spectrums in terms ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results