Professor

Robert Williamson

FAA

Robert Williamson
Image Description
Professor Williamson has developed scientific theory and widely used practical algorithms to solve machine learning problems. His best known work is in the field of “kernel machines”, a particular form of machine learning methods based on the geometry of infinite dimensional spaces. In addition to developing new powerful theoretical frameworks to analyse such techniques (the fact they are effectively working in infinite dimensions causes difficulties) he developed three widely used practical algorithms – the “nu” Support Vector Machine, the one-class SVM, and a simple online SVM. These are popular because they are effective, efficient and the adjustable parameters are readily interpretable.

Fields of research

46 INFORMATION AND COMPUTING SCIENCES
  • 4602 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
460502 Data mining and knowledge discovery 49 MATHEMATICAL SCIENCES
  • 4905 STATISTICS
    • 490509 Statistical Theory

For full list of research codes, please visit the ARC Website .

Expertise type

  • Information Theory
  • Signal Processing
  • Mathematical Statistics
  • Probability
  • Artificial Intelligence
  • Computer Science
  • ICT
  • Machine Learning

Please contact fellowship@science.org.au to request any updates to the data.