Abstract: Normal mixture models are widely used to represent data arising from latent subpopulations. We propose a Design-of-Experiments (DOE) and Response Surface Methodology (RSM) framework to ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

University of Toronto researchers have expanded our understanding of bacterial immunity with the discovery of a new protein that can both sense and counteract viral infections. In the study, published ...

Abstract: Unit commitment problems are operation optimization problems solved by independent system operators (ISOs). These problems generally need to be solved within a limited time, and the quality ...

Independent verification of data is a fundamental principle of scientific research across the disciplines. The self-correcting mechanisms of the scientific method depend on the ability of researchers ...

Concentration is the mental effort you put into a task. You might lose concentration due to distractions, lack of sleep, aging, or health conditions. Consider talking with a doctor or therapist if ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...