The resulting estimate of the tree probability is given by: This approximation method replicates exactly the computation of the feed-forward neural network in (Henderson, 2003), where the above means µ t i are equivalent to the neural network hidden unit activations.
all the previously observed decisions h(t, k) comprise the set of visible variables V .