This example shows how to adaptively learn in the parameters of a Bayesian network from a stream of data with a Bayesian
approach using a combination of the the following two algorithms,
Broderick, T., Boyd, N., Wibisono, A., Wilson, A. C., and Jordan, M. I. (2013). Streaming variational bayes.
In Advances in Neural Information Processing Systems (pp. 1727-1735).
Olesen, K. G., Lauritzen, S. L., and Jensen, F. V. (1992, July). aHUGIN: A system creating adaptive causal
probabilistic networks. In Proceedings of the Eighth international conference on Uncertainty
in Artificial Intelligence (pp. 223-229). Morgan Kaufmann Publishers Inc.
Created by andresmasegosa on 18/6/15.