In this episode of Galaxy Brain, Charlie Warzel explores the burgeoning industry of prediction markets. These platforms let people wager on everything from elections and award shows to the most ...

The group, Coalition for Prediction Markets (CPM), comes as the U.S. prediction market has boomed since the start of the year. A federal court's dismissal last year of a prohibition on election ...

Abstract: Train delay prediction is crucial for optimizing train operation. Train delay estimates can help dispatchers make effective decisions, which not only improves the work efficiency of ...

1 Department of Physiology, School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China 2 School of Public Health, Kunming Medical University, Kunming, Yunnan, China Objective: The ...

A machine learning system for predicting Polycystic Ovary Syndrome (PCOS) using multimodal data: ultrasound images (processed by a CNN + Vision Transformer ensemble) and clinical features (hormones, ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

Abstract: This study proposes an integrated hierarchical model combining XGBoost and Support Vector Classifier (SVC) for high-precision student performance prediction and training effectiveness ...

To overcome the limitations of traditional roller-compacted concrete (RCC) compaction monitoring—which relies on macroscopic experiments, overlooks microscopic mechanisms, and lacks model ...

Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China Introduction: This study used the Extreme Gradient Boosting (XGBoost) machine learning model to ...