• Gene selection based on consistency modelling, algorithms and applications

      Hu, Yingjie (Raphael) (Auckland University of Technology, 2007)
      Consistency modeling for gene selection is a new topic emerging from recent cancer bioinformatics research. The result of classification or clustering on a training set was often found very different from the same operations ...
    • Meta learning on string kernel SVMs for string categorization

      Gunasekara, Nuwan Amila (Auckland University of Technology, 2010)
      Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional spaces that are presented by kernels without a computational decrease, their performance is determined by two main factors: ...