Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

New scenarios in diabetes treatment have been opened in the last ten years by continuous glucose monitoring (CGM) sensors. In particular, Non-Invasive CGM sensors are particularly appealing, even ...

This project consists of a deep dive on multiple linear regression (OLS) and its regularized variants (Ridge, the Lasso, and the Elastic Net) as well as Python implementations for exploratory data ...

Published in: IEEE/ACM Transactions on Audio, Speech, and Language Processing ( Volume: 27 , Issue: 12 , December 2019 ) ...

In these cases, OLS should not be used and the literature suggests carrying out orthogonal distance regression (ODR). 5,6 The aim of this work is to suggest how to handle such cases in which errors in ...

ABSTRACT This study was carried out for two purposes: comparing performances of Regression Tree and Automatic Linear Modeling and determining optimum sample size for these methods under different ...

A localized and adaptive recursive partial least squares algorithm (LARPLS), based on the local learning framework, is presented in this paper. The algorithm is used to address, among other issues in ...