Abstract: To address the challenges of high resource dynamism and intensive task concurrency in microservice systems, this paper proposes an adaptive resource scheduling method based on the A3C ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Incorporating peer review and individual reflections makes frequent, intentional formative assessment manageable, with big ...
This repository contains the code and resources for the paper Thinker: Learning to Think Fast and Slow, published at NeurIPS 2025. Our work introduces the Thinker task, a novel four-stage ...
Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...
Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...
Produced by the Asian Development Bank (ADB) through its Economic Research and Development Impact Department, in close collaboration with the National Statistics Bureau of Bhutan, the National ...
People who only had one job and couldn’t get it right. Fans walk out of Wizard of Oz Christmas show: 'It was atrocious' Florida’s 'forgotten' coastline offers quaint towns and fresh seafood without ...