3 results for 2000, University of Canterbury Library, Evaluation of a machine learning tool in the domain of genetic host responses

  • Evaluation of a machine learning tool in the domain of genetic host responses

    Pitt, Joel (2003)

    Reports
    University of Canterbury Library

    This report examines the use of Support Vector Machines and Genetic Programming Classifiers (GPCs) to distinguish between classes of cancer based on gene expression data. The effect of feature selection on classifier accuracy and on the convergence time of GPCs is experimentally investigated, with the goal of making classification problems on gene expression data tractable to GPCs.

    View record details
  • Evaluation of a machine learning tool in the domain of genetic host responses

    Pitt, Joel (2003)

    Doctoral thesis
    University of Canterbury Library

    This report examines the use of Support Vector Machines and Genetic Programming Classifiers (GPCs) to distinguish between classes of cancer based on gene expression data. The effect of feature selection on classifier accuracy and on the convergence time of GPCs is experimentally investigated, with the goal of making classification problems on gene expression data tractable to GPCs.

    View record details
  • Evaluation of a machine learning tool in the domain of genetic host responses

    Pitt, Joel (2003)

    Doctoral thesis
    University of Canterbury Library

    This report examines the use of Support Vector Machines and Genetic Programming Classifiers (GPCs) to distinguish between classes of cancer based on gene expression data. The effect of feature selection on classifier accuracy and on the convergence time of GPCs is experimentally investigated, with the goal of making classification problems on gene expression data tractable to GPCs.

    View record details