| EPSRC Reference: |
EP/K009788/1 |
| Title: |
Network on Computational Statistics and Machine Learning |
| Principal Investigator: |
Girolami, Professor M |
| Other Investigators: |
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| Department: |
Statistical Science |
| Organisation: |
University College London |
| Scheme: |
Network |
| Starts: |
01 March 2013 |
Ends: |
29 February 2016 |
Value (£): |
104,530
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Statistics & Appl. Probability |
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| EPSRC Industrial Sector Classifications: |
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Summary on Grant Application Form |
The aim of this network is to establish the UK as the world leading authority in the joint area of Computational Statistics and Machine Learning (CompStat & ML) by advancing communication, interchange and collaboration within the UK between the disciplines of Computational Statistics (CompStat) and Machine Learning (ML).
The UK has tremendous research strength and depth that is widely acknowledged as world leading in both the individual areas of Computational Statistics and Machine Learning. Despite each of these fields of research developing, largely, independently and having their own separate journals, international societies, conferences and curricula both areas of investigation share a common theoretical foundation based on the underlying formal principles of mathematical statistics and statistical inference. As such there is a natural diffusion of concepts, research and individuals between both disciplines. This network will seek to formalise as well as enhance this interchange and in the process capitalise on important synergies that will emerge from the combined and shared research agendas of CompStat & ML.
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Key Findings |
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No information has been submitted for this grant.
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Potential use in non-academic contexts |
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No information has been submitted for this grant.
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Impacts |
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No information has been submitted for this grant.
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Sectors submitted by the Researcher |
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No information has been submitted for this grant.
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ucl.ac.uk |