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* [http://www.cs.ust.hk/faculty/lzhang/bio.html Nevin Lianwen Zhang] and [http://www.cs.ubc.ca/spider/poole/ David Poole], [http://www.cs.ubc.ca/spider/poole/papers/canai94.pdf A simple approach to Bayesian network computations], Proceedings of the Tenth Biennial Canadian Artificial Intelligence Conference (AI-94), Banff, May 1994, 171—178. This paper presents variable elimination for belief networks.
* [http://research.microsoft.com/~heckerman/ David Heckerman], [http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-95-06 A Tutorial on Learning with Bayesian Networks]. In Learning in Graphical Models, M. Jordan, ed. MIT Press, Cambridge, MA, 1999. Also appears as Technical Report MSR-TR-95-06, Microsoft Research, March, 1995. An earlier version appears as Bayesian Networks for Data Mining, Data Mining and Knowledge Discovery, 1:79-119, 1997. The paper is about both parameter and structure learning in Bayesian networks.