The note is to generate the Junction Tree step by step, with two examples, one is simple BN, another is complex BN. Reference: PGM_CS 731 Advanced methods in artificial intelligence, with biomedical applications (Fall 2009): http://pages.cs.wisc.edu/~dpage/cs731/lecture5.ppt Text: Bayesian Reasoning and Machine Learning https://en.wikipedia.org/wiki/Kruskal%27s_algorithm Sample 1: Below is a full procedure on how to generate a Junction tree with complete potential and separators from simple Bayes model Problem: Turn it into Cliques graph: moralized, and triangulated Here is the cliques set:   {ABC}   {BCD}  {CDE}  {DEF}  Turn it into aRead More