To prepare the data, we offer further instructions in the file data.md, where you can find more information on how we cleaned and converted the data to our formats.

Abstract: Bayesian network is a graphical model based on probabilities to represent and inference in uncertain conditions. In the field of Bayesian network, structure learning from data is an ...

Ms. O’Rourke is the executive editor of The Yale Review and a professor of creative writing at Yale University. July 18, 2025 When I first told ChatGPT who I was, it sent a gushing reply: “Oh wow — it ...

Background Accurate pre-ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access ...

Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...

Introduction: During the commissioning and operation of shale gas pipelines, multiple perforation accidents caused by internal corrosion have occurred. Research on internal corrosion probability ...