Hi everybody, I am catching up on current research in Bayesian belief networks after some years in the wilderness. I'm interested in the possibility of Bayesian inference applications in medicine. Towards that end, I think explanation or some other qualitative presentation of results could be important to help people understand how and why results are generated.
A web search seems to find references that I remember seeing before, such as the excellent article by Madigan et al., "Graphical Explanation in Belief Networks". However i can't seem to find more recent works on this topic. I also browsed the proceedings of the UAI conference and came up empty handed. I guess I must be overlooking something. If someone can point me to publications or other resources about explanation or other forms of qualitative analysis in belief networks or probabilistic models more generally, I'll be very appreciative. best, Robert Dodier _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai