Visual Studio Magazine

Linear Regression with Two-Way Interactions Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...
Bloomberg L.P.

Pricing Insights: Blocks in portfolio trading

This article was written by David Krein, Head of Real-Time Pricing Research and Chirag Gupta, AI Researcher at Bloomberg. Welcome to Pricing Insights our series exploring key themes in the fixed ...
GitHub

Nonlinear Regression: Estimating Hand-to-Camera Distance

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...
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, ...
PV Tech

Shade-resistant and segmented solar modules

Aesolar and Fraunhofer CSP’s segmented shade-resistant module technology aims to drastically reduce energy loss caused by partial shading. Image: Fraunhofer CSP. Shading has traditionally encumbered ...
Scientific Research Publishing

Wang, Y., Feng, L., Sui, X., Chu, J., & Mu, L. (2020). Nonlinear Regression Models for Agricultural Price Forecasting: A Comparative Study. Agricultural Systems, 180, 102-115.

ABSTRACT: This paper applies the novel adaptive learning methodology to forecast agricultural and energy prices in Greece’s volatile, data-scarce markets. We combine traditional ordinary least squares ...
IEEE

A Nonintrusive Nonlinear Model Reduction Method for Thermal Cycling-Induced Viscoplastic Deformation Problems Based on Segmented Gaussian Process Regression Machine Learning

Abstract: Numerical simulation of thermal cycling-induced viscoplastic deformation is important to design a reliable underfilled flip chip package, where the time histories of viscoplastic strains are ...
Ars Technica

Getting an all-optical AI to handle non-linear math

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
Scientific Research Publishing

Kim, M. and Lee, S. (2016) Nonlinear Expectile Regression with Application to Value-at-Risk and Expected Shortfall Estimation. Computational Statistics & Data Analysis, 94, 1-19.

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...