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» Meta optimization: improving compiler heuristics with machin...
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ECTEL
2007
Springer
15 years 3 months ago
Adaptation of the ACO Heuristic for Sequencing Learning Activities
This paper describes an initiative aimed at adapting swarm intelligence techniques (in particular, Ant Colony Optimization) to an e-learning environment, thanks to the fact that th...
Sergio Gutiérrez Santos, Grégory Val...
PPOPP
2009
ACM
15 years 10 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
CGO
2010
IEEE
15 years 2 months ago
Taming hardware event samples for FDO compilation
Feedback-directed optimization (FDO) is effective in improving application runtime performance, but has not been widely adopted due to the tedious dual-compilation model, the difï...
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-...
ESWS
2009
Springer
15 years 4 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
CORR
2008
Springer
193views Education» more  CORR 2008»
14 years 9 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond