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 ...
IEEE

Linear Regression Classification in the Quaternion and Reduced Biquaternion Domains

Abstract: Linear regression classification (LRC) has proven to be a successful recognition tool in recent years. LRC depends on using the least square algorithm to get the solution of the linear ...
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, ...
Frontiers

Enhancing yield prediction in maize breeding using UAV-derived RGB imagery: a novel classification-integrated regression approach

1 College of Rural Revitalization, Jiangsu Open University, Nanjing, China 2 Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing, China Accurate ...
GitHub

CAP781-MachineLearning

This course provides a comprehensive introduction to Machine Learning (ML) and its applications, blending theoretical foundations with practical implementations. It explores core concepts, algorithms, ...
IEEE

Decision fusion for block linear regression classification based on confidence index

Abstract: We consider the problem of recognizing human faces with varying expression and illumination, and a novel confidence index based block linear regression classification method is proposed. Our ...
Scientific Research Publishing

Sharma, D. and Mohandatta, S.G. (2017) Classification of Watershed and Rainfall-Runoff Modelling Using SOM, Linear Regression Analysis and ANN. International Journal of ...

ABSTRACT: Temporal variation of rainfall has a direct influence on discharge of a river; however, considerable land cover changes through conversion of natural vegetation to agricultural land, ...
Scientific Research Publishing

Jaiswal, J.K. and Samikannu, R. (2017) Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression. 2017 World Congress on Computing ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.