We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

TW-BERT is an end-to-end query term weighting framework that bridges two paradigms to improve search results Integrates with existing query expansion models and improves performance Deploying the new ...

In the realm of search engines, there’s a holy grail. Think human intelligence, as if you were telling your question to a friend—but the friend exists through the computer screen and in the digital ...

Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...