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High speed networks that preserve continuity and accuracy

Developments in classification and regression like bagging, boosting and support vector machines tend to greatly improve generalization over simpler techniques, but may also result in longer computation times. In this paper we show one way of converting such computations into fast ones, without significant loss of accuracy, using a decision tree with piecewise linear approximants on the blocks.