Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...

Abstract: The affinity graph is regarded as a mathematical representation of the local manifold structure. The performance of locality-preserving projections (LPPs) and its variants is tied to the ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Director of National Intelligence Tulsi Gabbard told Megyn Kelly during an interview this week that there is an ongoing investigation to prove the role U.S.-funded research at the Wuhan Institute of ...

1 MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom 2 Department of Psychology and York Biomedical Research Institute, University of York, York, United Kingdom ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Objective: This study aims to explore the association between alcohol intake and cognitive function in elderly Americans, including potential nonlinear relationships and interactions across different ...

This paper introduces a novel hierarchical graph-based long short-term memory network designed for predicting the nonlinear seismic responses of building structures. We represent buildings as graphs ...

Your working memory, cognitive flexibility, and self-regulation are core components of executive function (EF), an interrelated set of mental skills that lay the foundation for advanced cognitive ...

Background: Clinical trials are the most rigorous way of testing how novel treatments compare with existing ones regarding outcomes. The randomized controlled clinical trial has become the standard ...