public class MaximimumLikelihoodFadingExample
This example shows how to adaptively learn the parameters of a Bayesian network from a stream of data using exponential
forgetting with a given fading factor, directly inspired by the approach presented in
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.