Systems And Methods For Predicting The Value Of A Continuous Output

Abstract: A computer-implemented method for learning a distance metric, D, for an input space according to a large margin nearest neighbour model adapted for outputs having a continuous value. The method comprising determining a transform, L, for the input space, wherein the transform, L, is configured to correlate the distance between input data points in the input space with the difference between the values of continuous outputs associated with the input data points; applying the transform, L, to the input space; and learning the distance metric, D, from the transformed input space.

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