Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
A new AI model could help radiologists identify brain abnormalities in MRI scans for all conditions including stroke, multiple sclerosis and brain tumors.
Laura Dern may be one of the most accomplished actresses in the world, but she's also a runway model now! "Always a privilege to witness Raf Simons’ genius forCalvin Klein, especially when I am the ...
Abstract: Recently, the machine unlearning has emerged as a popular method for efficiently erasing the impact of personal data in machine learning (ML) models upon the data owner’s removal request.
This study explores the potential of applying machine learning (ML) methods to identify and predict areas at risk of food insufficiency using a parsimonious set of publicly available data sources. We ...
Abstract: In this paper, a regression based machine learning model (Lasso) is used for the design of cavity backed slotted antenna. This type of antenna is commonly used in military and aviation ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Marine dissolved organic matter (DOM) is an extremely complex mixture of organic ...
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 ...
Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
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