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I have been interested, together with several students, in languages for knowledge representation and machine learning that combine graph-based modeling, in particular Bayesian networks, with logical structures, in particular description logics.

Perhaps the most interesting language we have developed is This was joint work with Ira Cohen, at HP Labs Palo Alto.

I'm a founding member of the Society for Imprecise Probability Theory and Applications; I also helped organize some of the International Symposium for Imprecise Probabilities and Their Applications (ISIPTA) and edited some of its proceedings.

I have developed graph-based models that represent sets of probability measures over sets of variables; these are often called Fabio G.

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Probabilistic logic with independence, International Journal of Approximate Reasoning, v.Esfahan has a wealth of highly ornate architectural wonders and is known as the Florence of Iran.