2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
NeurIPS 2018poster
Sum-product networks have recently emerged as an attractive representation due to their dual view as a special type of deep neural network with clear semantics and a special type of probabilistic graphical model for which inference is always tractable. Those properties follow from some conditions (i…