Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

A deep dive looking at players who are running unsustainably hot or cold headed into fantasy championship week, and what it means for your Week 17 start-sit decisions.

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable selection methods ...

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...

Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada Task-evoked functional magnetic resonance imaging studies, such as the Human Connectome Project (HCP), are a ...

Abstract: In this article, we extend the popular supervised learning technique radial basis function network (RBFN) for regression modeling based on fuzzy responses ...

Introduction: Sound waves are refracted along the direction of their propagation owing to spatial and temporal fluctuations in the speed of sound in seawater. Errors are compounded when sound speed ...

Abstract: In many areas of science, technological advances have led to devices that produce data streams consisting of an enormous number of measurements per subject, including wearable devices, ...