With finals over and done with, I’ve been spending my extra free time doom-scrolling on Instagram Reels. Now that I have more time on my hands, I’ve noticed just how many additions Reels has had in ...

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 ...

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, ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

Abstract: Traditional feature selection algorithms based on information theory often exhibit inherent limitations in directly addressing numerical features. To overcome this challenge, fuzzy mutual ...

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 ...

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 ...

What if you could delegate your most tedious tasks to an assistant that not only understands your needs but also works autonomously without disrupting your flow? Enter Claude Code Agents, a new ...

If you use Visual Studio Code, the April 2025 update (version 1.100) is worth checking out. This release brings smarter AI, faster Chat responses, a new GPT model, and small but useful improvements to ...

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