Inference and Learning in Hybrid Bayesian Networks

  title={Inference and Learning in Hybrid Bayesian Networks},
  author={Kevin P. Murphy},
We survey the literature on methods for inference and learning in Bayesian Networks composed of discrete and continuous nodes, in which the continuous nodes have a multivariate Gaussian distribution, whose mean and variance depends on the values of the discrete nodes. We also brie y consider hybrid Dynamic Bayesian Networks, an extension of switching Kalman lters. This report is meant to summarize what is known at a su cient level of detail to enable someone to implement the algorithms, but… CONTINUE READING
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