Discovery Projects - Grant ID: DP0343616

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP0343616

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Geometric parameters in Learning Theory. We aim to investigate the behaviour of geometric parameters which appear naturally in Statistical Learning Theory. Those parameters are used to control the sample complexity, which is the size of a random sample needed to produce an accurate prediction. They are also of independent interest in the local theory of Banach spaces. We shall use geometric methods originating in the local theory of Banach spaces to investigate the parameters and the way they influence sample complexity. All the problems we focus on are not only important from the Machine Learning point of view, but are intriguing in their theoretical implications.

Funded Activity Details

Start Date: 01-01-2003

End Date: 31-12-2004

Funding Scheme: Discovery Projects

Funding Amount: $100,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Functional Analysis | Artificial Intelligence and Image Processing | Pattern Recognition

ANZSRC Socio-Economic Objective (SEO)

Information processing services | Application tools and system utilities |

Other Keywords

Application tools and system utilities | Artificial Intelligence and Image Processing | Functional Analysis | Information processing services | Pattern Recognition

Related Links