Teytaud Bayesian Networks : a Non-Frequentist Approach for Parametrization , and a more Accurate Structural Complexity Measure

The problem of calibrating relations from examples is a classical problem in learning theory. This problem has in particular been studied in the theory of empirical processes (providing asymptotic results), and through statistical learning theory. The application of learning theory to bayesian networks is still uncomplete and we propose a contribution… CONTINUE READING