Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

You're responsible for your own Spotify algorithm now. On stage at SXSW, Spotify's co-CEO, Gustav Söderström, announced the Taste Profile feature, which allows users to personally customize exactly ...

Threads users have been complaining about its recommendation algorithm pretty much since the beginning of the platform. At some point, this turned into a meme, with users writing posts jokingly ...

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Instagram said it is giving users more control over their algorithm — with the help of artificial intelligence. The new feature launched on Wednesday is simply called "Your Algorithm," and is ...

Abstract: The evolution-based wrapper feature selection algorithm is a powerful approach for effectively reducing the dimensionality of datasets, yet it faces significant scalability challenges. In ...

Instagram is experimenting with bringing tools to control your own algorithm to Threads, its X rival. The feature was uncovered while in development by reverse engineer Alessandro Paluzzi, who ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

Is there a way you could add the selection of different algorithms? This old obsidian-recall plugin allowed this. Another person in this topic #51 asked if a newer algorithm is possible to implement, ...

Abstract: Evolutionary algorithms (EAs) have shown their competitiveness in solving feature selection (FS) problem. However, when facing high-dimensional data with a number of instances, there are two ...