Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Hosted on MSN

How to implement linear regression in C++ step by step

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...
IEEE

Prediction and Study of Air Quality Based on Multiple Linear Regression and Grey Correlation Analysis

Abstract: The aim of this paper is to construct a model by both multiple linear regression and grey correlation analysis in order to improve the accuracy and depth of understanding of air quality ...
Scientific Research Publishing

Ottaviani, F.M. and Marco, A.D. (2022) Multiple Linear Regression Model for Improved Project Cost Forecasting. Procedia Computer Science, 196, 808-815.

ABSTRACT: Accurate forecasting of the system marginal price (SMP) is crucial to improve demand-side management and optimize power generation scheduling. However, predicting the SMP is challenging due ...
Scientific Research Publishing

Harrell, Jr. (2015) Regression Modeling Strategies with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Edition, Springer.

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
C&EN

Predicting Iron–Sulfur Cluster Redox Potentials: A Simple Model Derived from Protein Structures

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this study, we aimed to develop a simpler and ...
C&EN

Simple Linear Regression Models for Prediction of Ionization Energies, Electron Affinities, and Fundamental Gaps of Atoms and Molecules

Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8320, United States ...
Visual Studio Magazine

Naive Bayes Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
eWeek

What is Logistic Regression? A Comprehensive Guide

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Visual Studio Magazine

Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...
IEEE

Approaches: Model Predictive Control, Support Vector Machine and Simple Linear Regression for the Transformation of the CEET Power Grid in Lomé, Togo, into a smart grid

Abstract: As the adaptation of consumption to the production of electrical energy is important, we discuss in this article, three algorithms to predict production in order to transform the CEET - the ...