A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables
We show how to use a variational approximation to the logistic function to perform approximate inference in Bayesian networks containing discrete nodes with continuous parents. Essentially, we convert the logistic function to a Gaussian, which facili…
Authors: Kevin Murphy
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