Harvard Business Review

Decision Trees for Decision-Making

Here is a [recently developed] tool for analyzing the choices, risks, objectives, monetary gains, and information needs ...
IEEE

Support Vector Machine and Boosted Regression Tree as Effective Data Mining Tools for Predicting Students’ Academic Performance

Abstract: This paper reports the application of data mining techniques; Support Vector Regression (SVR) and Boosted Regression Tree (BRT) in prediction of students’ academic performance in schools.
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
IEEE

An Adaptive Framework for Low-Rate DDoS Detection in Cloud Environments Using Decision Tree Machine Learning Algorithm

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...
Frontiers

Real-world data-driven early warning system for risk-stratified liver injury in hospitalized COVID-19 patients—Machine learning models for clinical decision support

Objective: To develop and validate a real-world evidence-driven early warning system for the risk-stratified prediction of coronavirus disease 2019 (COVID-19)-associated hepatic dysfunction in ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
The EMBO Journal

Predicting natural variation in the yeast phenotypic landscape with machine learning

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Most organismal traits result from the complex ...