Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

Bayesian Networks

  •  a,b,c - propositions (events). Bayesian networks model causal relations between events

  • Inference in Bayesian Nets:

    • Given probability distributions for roots and conditional probabilities can compute apriori probability of any instance

    • Fixing assumptions (e.g., b was observed) will cause recomputation of probabilities

  • For more information see:

  • R.G. Cowell, A.P. Dawid, S.L. Lauritzen, and D.J. Spiegelhalter. 1999. Probabilistic Networks and Expert Systems. Springer Verlag.

  • J. Pearl. 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufman.


Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.