ICANN 1999

Gaussian Process Classifiers and Support Vector Machines


This workshop aims to bring together people working with Gaussian Process (GP) and Support Vector Machine (SVM) predictors for regression and classification problems. We will open with tutorial-like introductions to the basics so that researchers new to the area can gain an impression of the applicability of the approaches, and will follow with contributed presentations. The final part of the workshop will be an open discussion session. We would bring laptops to provide some software demos, and would encourage others to do the same.


  • Methods for choosing kernels:

    • Generic vs problem specific issues

    • Uniform convergence and Bayesian theory

  • Efficient implementation/approximation of GP and SVM predictors on large datasets

  • GP classifiers: MCMC methods, variational and Laplace approximations

  • Kernel methods for dynamic system modelling

  • Applications of Kernel methods

  • Reproducing Kernel Hilbert Spaces

Call for participation

Those wishing to contribute to the workshop should send a brief title and abstract (no more than 1 page) to the workshop organizers by Monday 12 July. Submission of the title and abstract can also be done via the survey form.

Date and Location

The workshop will be held on Saturday 11 September 1999 as part of the ICANN 99 workshops. These will be held in the Appleton Tower at the University of Edinburgh.

Registration for the workshop

Registration for the workshops is free. Those registering for the ICANN conference should register for the workshops on the same form. Others should register with the organizers of the workshop(s) they wish to attend, and can register for the GP/SVM workshop via the survey form. We need you to do this so that we can get rooms of a suitable size for the workshops.