Challenges in Relational Learning for Real-Time Systems Applications Mark Bartlett1,2 , Iain Bate2 , and Dimitar Kazakov1 1 Artificial Intelligence Group, Department of Computer Science, - Worst-case execution time - Document - PDFSEARCH.IO

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	Challenges in Relational Learning for Real-Time Systems Applications Mark Bartlett1,2 , Iain Bate2 , and Dimitar Kazakov1 1 Artificial Intelligence Group, Department of Computer Science, Add to Reading List Document Date: 2012-05-02 15:17:36 Open Document File Size: 281,66 KB Share Result on Facebook City York / / Company Multi-Processor Systems / Real Time Systems Group / Real-Time Systems / / Country United Kingdom / / / Facility University of York / / IndustryTerm genetic algorithms / execution hardware / hypothesis search space / individual software components / telecommunication applications / understood hardware / faster equipment / automatic processing / search space / learning algorithm / / Organization University of York / Department of Computer Science / / Position αp Vp / Vp / p0 Vp / αp0 Vp / / PublishedMedium Machine Learning / / TVStation WCET / / Technology learning algorithm / Machine Learning / / SocialTag Real-time computing Worst-case execution time Compiler construction Compiler optimizations Control flow For loop Machine learning Infinite loop Termination analysis Computing

Challenges in Relational Learning for Real-Time Systems Applications Mark Bartlett1,2 , Iain Bate2 , and Dimitar Kazakov1 1 Artificial Intelligence Group, Department of Computer Science,Add to Reading List