| EPSRC Reference: |
GR/R55948/02 |
| Title: |
Delimiting Kernel-Based Learning Methods |
| Principal Investigator: |
Shawe-Taylor, Professor JS |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Electronics and Computer Science |
| Organisation: |
University of Southampton |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 October 2003 |
Ends: |
31 March 2005 |
Value (£): |
144,024
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| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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Learning systems based on kernels are a powerful class of algorithms that includes Support Vector Machines and Gaussian Processes. These Systems have become a major part of current research into the applications of adaptive systems. Despite this fact very little is known about when we can expect these systems to perform well. There has been the assumption made that they provide a universal learning methodology.Recently the proposer and the visiting fellow have independently contributed to papers that have begun to delimit their range of applicability. The proposed project will carry forward this work.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.soton.ac.uk |