Now showing items 1-2 of 2
The Evolution of a Kernel-Based Distance Metric for k-NN Regression
k-Nearest Neighbours (k-NN) is a well understood and widely-used approach to classification and regression problems. In many cases, such applications of k-NN employ the standard Euclidean distance metric for the determination ...
An evolutionary approach to automatic kernel construction
Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ...