In this paper, we compare four state-of-the-art gradient boosting algorithms viz. XGBoost, CatBoost, LightGBM and SnapBoost. All these algorithms are a form of Gradient Boosting Decision Trees(GBDTs).

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at checking ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...

Strikeout Kings — K Prop Cheat Sheet, 6/12 Which Starting Pitchers Rack Up The Ks Tonight? John Laghezza Jun 12, 2025 9:10 AM EDT ...