  This paper shows that a long chain of perceptrons (that is, a multilayer
perceptron, or MLP, with many hidden layers of width one) can be a universal
classifier. The classification procedure is not necessarily computationally
efficient, but the technique throws some light on the kind of computations
possible with narrow and deep MLPs.
