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» Approximate algorithms for neural-Bayesian approaches
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SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
15 years 10 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...
POPL
2003
ACM
15 years 10 months ago
A generic approach to the static analysis of concurrent programs with procedures
We present a generic aproach to the static analysis of concurrent programs with procedures. We model programs as communicating pushdown systems. It is known that typical dataflow ...
Ahmed Bouajjani, Javier Esparza, Tayssir Touili
EMSOFT
2004
Springer
15 years 3 months ago
Approximation of the worst-case execution time using structural analysis
We present a technique to approximate the worst-case execution time that combines structural analysis with a loop-bounding algorithm based on local induction variable analysis. St...
Matteo Corti, Thomas R. Gross
DAC
2010
ACM
15 years 1 months ago
PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme
System optimization techniques based on dynamic voltage scaling (DVS) are widely used with the aim of reducing processor energy consumption. Inter-task DVS assigns the same voltag...
Weixun Wang, Prabhat Mishra
JEA
2008
97views more  JEA 2008»
14 years 9 months ago
Approximating the true evolutionary distance between two genomes
As more and more genomes are sequenced, evolutionary biologists are becoming increasingly interested in evolution at the level of whole genomes, in scenarios in which the genome e...
Krister M. Swenson, Mark Marron, Joel V. Earnest-D...