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CGO
2011
IEEE
14 years 10 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
SIGSOFT
2004
ACM
16 years 6 days ago
Correlation exploitation in error ranking
Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easi...
Ted Kremenek, Ken Ashcraft, Junfeng Yang, Dawson R...
SEMWEB
2009
Springer
16 years 1 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
WOWMOM
2005
ACM
115views Multimedia» more  WOWMOM 2005»
16 years 10 days ago
Precise Distributed Localization Algorithms for Wireless Networks
We propose in this paper reliable and precise distributed localization algorithms for wireless networks: iterative multidimensional scaling (IT-MDS) and simulated annealing multid...
Saad Biaz, Yiming Ji
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 6 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein