Using Machine Learning in Embedded Real-Time Systems
Speculative Start/End Dates.
This project aims to provide new ways of inferring models from systems using techniques from Artificial Intelligence and more specifically Machine Learning. These models are initially to be used to solve problems in Worst-Case Execution Time Analysis.
Details
Status | Finished |
UoY Lead | Iain Bate |
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UoY People on Project | Dimitar Kazakov, John Clark, Mark Bartlett, Alex Wood, Sitsofe Wheeler |
Funded By | EPSRC |
Start Date | 01-03-2007 |
End Date | 28-02-2011 |