Frontiers

An Atomized Approach to Assessing Energy Problem Solving in Physics using Multidimensional Item Response Theory

Physics Education Group - Institute for Mathematics and Physics Education, Leibniz University Hannover, Hanover, Germany The final, formatted version of the article will be published soon. Problem ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

On Shaping Gain of Multidimensional Constellations in Linear and Nonlinear Optical Fiber Channel

Abstract: Utilizing the multi-dimensional (MD) space for constellation shaping has been proven to be an effective approach for achieving shaping gains. Despite there exists a variety of MD modulation ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
IEEE

Analysis of Linear Regression Using Different Optimization Techniques

Abstract: This paper gives an analysis of linear regression using different optimization techniques, including Gradient Descent, Stochastic Gradient Descent, and Mini-batch Gradient Descent. It ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...