Reverse Engineering March Madness Selection Committee Bracketology

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

Spotify’s new Taste Profile feature lets users fine-tune their algorithm’s recommendations

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 ...
IEEE

Fuzzy Advantage Granular Ball Rough Set for Feature Selection via Deep Reinforcement Learning

Abstract: Feature selection is a critical step in data mining, with the granular ball rough set model widely applied in this area. However, the randomness issue during the initialization of the ...
IEEE

A Sparse Feature Selection Algorithm for Pruning Digital Predistortion Models

Abstract: This article proposes a low-complexity sparse feature selection (LCSFS) algorithm to prune the redundant terms in the digital predistortion model. By Adding a regularization term as a ...