Effect of various Bandwidth&Kernel Combinations in Neighbor Weighting

What is the effect of weighting your neighbors in kNN? Acc. to 3 datasets (Coc81, Nasa93, Desharnais), the effects are as follows:

• Weighting your neighbors acc. to a kernel function creates significantly different results
• However, in these 3 datasets subject to different kernels (Uniform, Triangular, Epanechnikov, Gaussian) and to inverse rank weighted mean (proposed by Mendes et. al.) with various bandwidths, we could not observe an improvement in accuracies.
• Detailed experimental results under http://unbox.org/wisp/var/ekrem/kernel/