Making predictions once the tree has been learned
		• If we are doing regression and our loss function is the squared error, then average the outputs of all the experts using the probabilities of paths through the gating tree as the weights. • This avoids discontinuities at boundaries between regions, because the probabilities are soft. – Its like the use of sigmoid units to allow gradient descent in training feed-forward nets