Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference
Jiantong Jiang, Zeyi Wen, Peiyu Yang +2
Probabilistic graphical models (PGMs) serve as a powerful framework for modeling complex systems with uncertainty and extracting valuable insights from data. However, users face ch…
cs.LG2023
Interpretable Traffic Event Analysis with Bayesian Networks
Tong Yuan, Jian Yang, Zeyi Wen
Although existing machine learning-based methods for traffic accident analysis can provide good quality results to downstream tasks, they lack interpretability which is crucial for…