The
Computer Learning Research Centre was established in January 1998
to provide a focus for fundamental research, academic leadership and
the development of commercial-industrial applications. The Centre
was created to work in the fields of computer learning, high-dimensional
data analysis, inductive/transductive inference and universal prediction.
The background for the establishment of the Centre lies in the recent
unprecedented growth in the quantity and complexity of information,
such as that generated by the human genome project. As new analysing
techniques, such as data mining, were researched and developed in
response to this growth, machine learning came to be recognised as
playing a central role in providing the means to cope with the processing
of information on this new scale.
In order to achieve these goals, the CLRC's activities were focused on research projects - developing both the theory and the technology to implement the theory - consultancy - providing technology and advice to outside organisations - and on providing short courses and seminars.
The activities of the the Centre are overseen by a Steering Committee, selected to represent the varied interests of industry, academia, commerce, the health service and UK Government.
The CLRC maintains a strong team of researchers, including senior academics, research assistants and research students. The members of the Centre contribute a substantial portion of the Department of Computer Science's seminars, as well as pursuing their own research goals. In addition to resident academic staff, the Centre has Visiting Professors and Research Associates from America, Australia and Russia, who visit the Centre to give lectures and seminars, work with other members of the Centre or attend the Centre's colloquia.
The members of the Centre regularly publish articles on their research, and a number of technical reports have been published through the Centre and this website. Further public exposure has come from the website itself, and in particular the Centre's Support Vector Machine Applet is attracting considerable international attention.
We hope that in the future the Centre will become a forum for interaction and collaboration across a broad disciplinary range. The research community will benefit from the insights gained in our research made accessible via the WWW, colloquia, and journals. If you are interested in our expertise in any of the above areas, please contact the Director of the Centre, Professor Alex Gammerman.