Healthsolve
Healthsolve
2 Projects, page 1 of 1
assignment_turned_in Project2014 - 2016Partners:Winton Capital Management Ltd., Select Statistical Services, Microsoft Research Ltd, Xerox Research Centre Europe, University of Warwick +15 partnersWinton Capital Management Ltd.,Select Statistical Services,Microsoft Research Ltd,Xerox Research Centre Europe,University of Warwick,Healthsolve,NCR (Scotland) Ltd,University of Warwick,IBM Research - Haifa,Xerox Research Centre Europe,Healthsolve,MICROSOFT RESEARCH LIMITED,Select Statistical Services,DeepMind Technologies Limited,Winton Capital Management,NCR (Scotland) Ltd,IBM,Featurespace,Featurespace,DeepMind Technologies LimitedFunder: UK Research and Innovation Project Code: EP/K009788/2Funder Contribution: 93,194 GBPThe 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.
more_vert assignment_turned_in Project2013 - 2014Partners:DeepMind Technologies Limited, Featurespace, NCR (Scotland) Ltd, Xerox Research Centre Europe, Healthsolve +14 partnersDeepMind Technologies Limited,Featurespace,NCR (Scotland) Ltd,Xerox Research Centre Europe,Healthsolve,Winton Capital Management Ltd.,NCR (Scotland) Ltd,IBM Research - Haifa,MICROSOFT RESEARCH LIMITED,Select Statistical Services,Microsoft Research Ltd,Select Statistical Services,Winton Capital Management,Healthsolve,IBM,Xerox Research Centre Europe,DeepMind Technologies Limited,UCL,FeaturespaceFunder: UK Research and Innovation Project Code: EP/K009788/1Funder Contribution: 104,530 GBPThe 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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