Understanding Hedonic Regression in Pricing Models

Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
Scientific Research Publishing

Services on Academic Achievement: A Robust Estimation Using Bayesian Additive Regression Trees ()

Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is facing ...
Futurism

The Number of People Using AI at Work Is Suddenly Falling

After three years of unprecedented tech spending and nonstop hype, the demand for AI in the workplace seems to be drying up fast. Looking at the big picture doesn’t make it any prettier. Back in March ...
IEEE

Comparative Between Artificial Neural Networks and Multiple Linear Regression for the Estimation of Mechanical Properties in Cast Aluminum

Abstract: Metallic materials are composed of elements with defined chemical composition, and their intrinsic atomic arrangement confers them a distinctive crystalline structure. Thus, it is relevant ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
CNN

YouTube will start using AI to guess your age. If it’s wrong, you’ll have to prove it

YouTube will begin guessing users’ ages using artificial intelligence on Wednesday, as part of an effort to prevent kids from accessing inappropriate content online. It’s part of a broader push to ...
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, ...
Visual Studio Magazine

Linear Regression Using JavaScript

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...
Frontiers

Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression

1 Regional Centre of Excellence in Biomedical Engineering and E-Health, University of Rwanda, Kigali, Rwanda 2 Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia ...
IEEE

Design and HDL Implementation of Pulse-Arrival-Time Estimation Using XGBoost Regression With Tree-Recycling Architecture

Abstract: This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is ...