Product of experts (PoE) is a machine learning technique. It models a probability distribution by combining the output from several simpler distributions.It was proposed by Geoffrey Hinton, along with an algorithm for training the parameters of such a system. The core idea is to combine several probability distributions ("experts") by multiplying their density functions—making the PoE classification similar to an "and" operation. This allows each expert to make decisions on the basis of a few dimensions without having to cover the full dimensionality of a problem.
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