| Skip to main content | Skip to sub navigation |

This is now an inactive research group it's members have moved on. You can find them at their new research groups:

ECS Intranet:
Optimisation methods for machine learning

This project is concerned with the development and application of optimisation methods for machine learning algorithms. Many modern machine learning algorithms can be viewed as optimising bounds on the generalisation error derived in learning theory. Modern tools from mathematical programming such as second-order cone and semi-definite programs will be adapted to the optimisation problems arising in machine learning. The resulting methods will be tested on benchmark data and - whenever possible - on suitable real-world data sets.

Type: Postgraduate Research
Research Group: Information: Signals, Images, Systems Research Group
Theme: Machine Learning
Dates: 1st October 2002 to 30th September 2005


Principal Investigators

Other Investigators

URI: http://id.ecs.soton.ac.uk/project/242
RDF: http://rdf.ecs.soton.ac.uk/project/242

More information

You can edit the record for this project by visiting http://secure.ecs.soton.ac.uk/db/projects/editproj.php?project=242