Dear colleagues,

        I would like to find a simple but real example of
        learning-the-values-of-a-Bayesian-network-with-known-structure.
        I would appreciate if someone could indicate to me 
        a database containing:
        - a list of realizations for a domain containing categorical
                variables;
        - a Bayesian network developed for that domain.

        I have been able to find a lot of data in machine learning
        repositories. Most of this data can be used to learn 
        *structure* and *values*. There are also many examples
        of Bayesian networks where experts produced
        *structure* and *values*. But I do not seem to find
        an example where experts built the structure and them did
        some statistical analysis to produce the values.

        As far as I know, learning only values is a relatively 
        simple problem (at least it is simple compared to learning 
        values and structure). I have also seem arguments that
        Bayesian networks have the advantage that structure can
        be built first and values can then be estimated.
        But I have not found easily something like: "this is the
        causal structure for a domain X with categorical variables,
        and this is real data obtained by measurements of variables
        in domain X". Could someone help me find this?

                Thanks much,

                        Fabio Cozman
                        Assistant Professor
                        University of Sao Paulo

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