Now showing items 1-2 of 2

  • The Evolution of a Kernel-Based Distance Metric for k-NN Regression 

    Madden, Michael G.; Howley, Tom (2007)
    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 

    Madden, Michael G.; Howley, Tom (2006)
    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 ...