Future research will look at determining under what conditions each distance function is
appropriate for a particular application. We will also look closely at the problem at selecting
the window width, and will look at the possibility of smoothing WVDM’s probability landscape
to avoid overfitting. The new distance functions will also be used in conjunction with a variety
of weighting schemes to provide more robust generalization in the presence of noise and
irrelevant attributes, as well as increase generalization accuracy on a wide variety of
applications.