Introduction Postpartum disengagement from HIV care increases risks for adverse maternal health outcomes and transmission of ...
New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...
Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...
Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
Abstract: Social media is growing rapidly as a medium for online communication. Through social media, users can share opinions, stories or other things. The messages shared tend to have various ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results