Abstract: Most microwave sensors establish a relationship between electrical parameters or dielectric properties with the property of interest of a sample using simple linear regression to make ...

Abstract: Gaussian process regression (GPR) models are becoming increasingly tightly integrated into robotic systems, particularly in the context of robot model predictive control (MPC) operating in ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...

Novel approaches to the all-day cafe are working for diners and creative chefs across the country. The Dutchess, in Ojai, Calif., begins the day as a French bakery and turns into a Burmese restaurant ...

This project introduces a diffusion-based framework for symbolic regression, a task traditionally dominated by genetic programming and transformer models. We explore three distinct modeling approaches ...