AlphaGalileo

Bayesian Spatial Modeling Enhances Precision of Forest Biomass Estimation

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...
IEEE

Evaluation Model of Teaching Quality based on Algorithm of Stepwise Regression Analysis

Abstract: The traditional AHP-based evaluation model of teacher teaching quality is unreasonable for the weight distribution of evaluation factors of teaching quality. The evaluation model of teacher ...
Hosted on MSN

What Is Linear Regression In Machine Learning ? Understand With Examples

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Frontiers

Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.
The Business Journals

StepWise aims to power the grid of the future from Buffalo HQ

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min StepWise, a 43North winner, is ...
Frontiers

OGPA: a novel indicator hinting at the academic performance of Chinese vocational college students using stepwise regression

1 Faculty of Applied Sciences, Macao Polytechnic University, Macao, China 2 School of Financial Management, Hainan College of Economics and Business, Haikou, China Studying the factors influencing the ...