Choice of error cost function for training unobservable nodes in Bayesian networks

In the construction of a Bayesian network f fom observed data, the findamental assumption that the variables starting @om the same parent are conditionally independent can be met by introduction of hidden node [Kwoh and Gillies 1994al. In the paper, we have shown that the conditional probability matrices for the hidden node for a triplet, linking three… CONTINUE READING