Learning Arbitrary Sum-Product Network Leaves with Expectation-Maximization

25 Apr 2016Mattia DesanaChristoph Schnörr

Sum-Product Networks with complex probability distribution at the leaves have been shown to be powerful tractable-inference probabilistic models. However, while learning the internal parameters has been amply studied, learning complex leaf distribution is an open problem with only few results available in special cases... (read more)

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