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 ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
The Lancet

Association between alcohol consumption and incidence of dementia in current drinkers: linear and non-linear mendelian randomization analysis

bDepartment of Computer Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China cSchool of Chinese Medicine, Li Ka Shing Faculty of Medicine, ...
Nature

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks

Rocks and their structures require careful planning to prevent loss of life and economic damage from human error. In civil engineering, mining, cave mining, tunneling ...
C&EN

Latent Variable Machine Learning Framework for Catalysis: General Models, Transfer Learning, and Interpretability

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Machine learning has been successfully applied in recent years to screen materials for ...
Frontiers

Greedy knot selection algorithm for restricted cubic spline regression

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...
Frontiers

Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning

Since the reform and opening up of China from the 1980s, there have been significant achievements in its economy and the construction of infrastructure. However, the environmental problems caused by ...
Quanta Magazine

The Basic Algebra Behind Secret Codes and Space Communication

Whether you’re passing secret notes in class or downloading images from a space probe, Reed-Solomon codes offer an ingenious way to embed information and correct for errors. Space exploration requires ...
Nature

A greedy regression algorithm with coarse weights offers novel advantages

Regularized regression analysis is a mature analytic approach to identify weighted sums of variables predicting outcomes. We present a novel Coarse Approximation Linear Function (CALF) to frugally ...
Scientific Research Publishing

Prediction Model of Compressive Strength of Fly Ash-Slag Concrete Based on Multiple Adaptive Regression Splines ()

Accurate prediction of compressive strength of concrete is one of the key issues in the concrete industry. In this paper, a prediction method of fly ash-slag concrete compressive strength based on ...
GitHub

Hierarchical Bayesian Approaches to Shrinkage and Sparse Estimation

Abstract: In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical models. This trend is also true for economic data, where ...