This work presents a novel, label-agnostic, multi-objective feature selection framework for high-dimensional biomedical data. The method jointly optimizes two intrinsic properties: distributional ...

Finding a YouTube video that truly matches our interests can sometimes be a challenge. The video-sharing platform appears to have recognized this issue and is taking steps to address it with its new ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: In recent years, embedded-based multi-label feature selection (MFS) has received increasing attention due to its ability to perform both feature selection and model training simultaneously.

MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...

Apple is working on a next-generation version of the iPad mini (codename J510/J511) that features an A19 chip, according to information found in code that Apple mistakenly shared. It looks like the ...

Steve Moser has posted on X about some code he found in the Home app of the iOS 26 beta. The code describes an “Adaptive Temperature” feature for home thermostats, which appears to offer several ...

If you use a third-party sleep tracker with your Apple Watch, you’re probably familiar with the concept of a sleep score: an index that combines signals like heart rate variation and sleep stages, to ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...