Discovering Structure in Continuous Variables Using Bayesian Networks
نویسندگان
چکیده
We study Bayesian networks for continuous variables using nonlinear conditional density estimators. We demonstrate that useful structures can be extracted from a data set in a self-organized way and we present sampling techniques for belief update based on Markov blanket conditional density models.
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