报告人：Ann Nicholson 教授 蒙纳士大学

主持人：杨冠羽

报告时间：2025年6月12日（周四）上午10:00-11:00

报告地点：澳门永利集团 九龙湖校区计算机楼233室

报告摘要：The application of Bayesian networks for probabilistic reasoning and decision-making under uncertainty has seen widespread adoption across diverse domains, from environmental modeling to clinical diagnosis. This talk will explore the critical challenges associated with building and maintaining complex Bayesian models at scale, particularly when dealing with "large lines" of data or intricate causal structures. We will present a "remodeling" approach, emphasizing iterative refinement and practical strategies for balancing the expressive power of rich Bayesian models with the imperative for interpretability and computational tractability.

报告人简介：Professor Ann E. Nicholson is Dean in the Faculty of Information Technology. Other past leadership roles including Deputy Dean (Research) 2018-2020, (Acting) Deputy Dean 2016-2017, and Associate Dean (Education) 2014-2016. Prof. Nicholson specialises in the broad area of Artificial Intelligence, a  sub-discipline of computer science.  She is a leading international researcher in the specialised area of Bayesian networks, now the dominant technology for probabilistic causal modelling in intelligent systems. She has published more than 100 peer reviewed papers, co-authored the well-received book "Bayesian Artificial Intelligence", and attracted more than $8M in research funding. She has applied Bayesian Network technology to problem-solving in many domains including meteorology, epidemiology, medicine, education and environmental science.