Now showing items 1-1 of 1

    • Hyper-parameter and kernel optimization in support vector machines. 

      Yamada, Shinichi (University of Canterbury, 2018)
      Support vector machines (SVMs) are capable of producing high quality solutions for many types of real-world classification problems. SVMs classify the data by selecting hyperplanes that provide the maximum margin between ...