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» Input Modeling Using Quantile Statistical Methods
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110
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CIKM
2008
Springer
15 years 2 months ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
RTCSA
2003
IEEE
15 years 5 months ago
Introducing Temporal Analyzability Late in the Lifecycle of Complex Real-Time Systems
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by c...
Anders Wall, Johan Andersson, Jonas Neander, Chris...
125
Voted
BMCBI
2006
126views more  BMCBI 2006»
15 years 20 days ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
79
Voted
ICSE
2009
IEEE-ACM
16 years 1 months ago
The road not taken: Estimating path execution frequency statically
A variety of compilers, static analyses, and testing frameworks rely heavily on path frequency information. Uses for such information range from optimizing transformations to bug ...
Raymond P. L. Buse, Westley Weimer
105
Voted
AAAI
2011
14 years 19 days ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen