Neil Muller

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In previous work, we demonstrated that a linearity condition was sufficient for us to estimate distortion from the output of the Synthetic Discriminant Function (SDF). However, many variants of the SDF have been developed. We extend the linear interpolating property to a class of SDF variants and use this result to analyse the properties of two of these(More)
In a previous paper [1] the authors discussed the merits of proximity based classifiers such as RBF-networks and nearest neighbour classifiers. We also pointed out the often neglected fact that the metric used to measure the distance between exemplars has a huge influence on the performance of the trained classifier and indicated the need for a fully(More)