Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

A Third-Order Majorization Algorithm for Logistic Regression With Convergence Rate Guarantees

Abstract: In this paper, we study the classical Logistic Regression (LR) problem in machine learning. Traditionally, the solving algorithms are based on either the first- or second-order approximation ...
IEEE

Using Low-Rank Approximations to Speed Up Kernel Logistic Regression Algorithm

Abstract: Logistic regression as a classic classification algorithm has limitations that can only be applied to linearly separable data. For linearly indivisible data, we use a kernel trick to map it ...
BMJ

Biomechanics laboratory-based prediction algorithm to identify female athletes with high knee loads that increase risk of ACL injury

6 Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, USA 7 Department of Orthopaedic Surgery, College of Medicine and the Departments of Biomedical Engineering and ...
Nature

Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci

To compare the comprehensive performance of conventional logistic regression (LR) and seven machine learning (ML) algorithms in Noise-Induced Hearing Loss (NIHL) prediction, and to investigate the ...
technologynetworks

Logistic Regression

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
technologynetworks

Linear Regression

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
Visual Studio Magazine

Logistic Regression with Batch SGD Training and Weight Decay Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...
Analytics Insight

10 Regression Algorithms You Need to Know for Machine Learning

In the subject of machine learning, it is essential to comprehend regression algorithms. Ten fundamental regression algorithms are introduced in this tutorial, which serves as the foundation for many ...