AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

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 ...
LinkedIn

Your First Multiple Linear Regression in R - A Complete Tutorial with Code

Read this blog to learn how to perform your first multiple linear regression in R with clear explanations and step-by-step coding examples. This tutorial simplifies statistical modeling, helping you ...
PNAS

Comparing variable selection and model averaging methods for logistic regression

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...
Nature

A multi-task learning approach combining regression and classification tasks for joint feature selection

Multi-task learning (MTL) is a learning paradigm that enables the simultaneous training of multiple communicating algorithms, and has been widely applied in the biomedical analysis for shared ...
GitHub

Fortran Statistics and Machine Learning

FSML (Fortran Statistics and Machine Learning) is a scientific toolkit consisting of common statistical and machine learning procedures, including basic statistics (e.g., mean, variance, correlation), ...
Nature

Developing Gaussian process regression, Lasso regression, and Nu-support vector regression models for predicting solubility of exemestane in supercritical CO

There is only ever one egg laid by a cuckoo at a time, and the nesting sites are selected at random. 2. Among a randomly chosen group of nests, only the nest with the superior-quality eggs is selected ...
LinkedIn

Ordinary Least Squares (OLS): Unpacking the Closed-Form Solution for Linear Regression

The secret sauce often lies in one elegant formula: Ordinary Least Squares (OLS). If linear regression has ever seemed mysterious, you’re about to unlock its heart and gain a timeless ML skill that ...
TWCN Tech News

How to perform Regression Analysis in Windows 11

Here is a guide for you to perform Regression Analysis on your Windows 11/10 PC. Regression Analysis is a statistical technique use to evaluate a set of data. It is used to determine the relationship ...
Visual Studio Magazine

Neural Network Regression from Scratch Using C#

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...