AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
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

Comparative Analysis of Accuracy For Predicting Earthquake Occurrence Using Linear ...

Abstract: In the context of earthquake prediction, the purpose of this study is to evaluate the accuracy of the Linear Regression Algorithm in comparison to Poisson regression. The linear regression ...
来自MSN

From solving linear to quadratics #math #algebra #tutorial

In this video, we provide essential "math help" by demonstrating how to "solve" various algebraic and "quadratic equations". This "math tutorial" covers linear equations and progresses to more complex ...
IEEE

Classification of Fraud Websites using Linear regression Algorithm and Recurrent Neural ...

Abstract: The purpose of this work is to improve the detection of fraud websites using Novel Linear Regression Algorithm and Recurrent Neural Network Algorithm. Materials and Methods: Novel Linear ...
Visual Studio Magazine

AdaBoost.R2 Regression Using C#

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...