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Modelling conditional probabilities with Riemann-Theta Boltzmann Machines
Published 27 May 2019 in stat.ML, cs.LG, and hep-ph | (1905.11313v1)
Abstract: The probability density function for the visible sector of a Riemann-Theta Boltzmann machine can be taken conditional on a subset of the visible units. We derive that the corresponding conditional density function is given by a reparameterization of the Riemann-Theta Boltzmann machine modelling the original probability density function. Therefore the conditional densities can be directly inferred from the Riemann-Theta Boltzmann machine.
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