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» Limits on the Usefulness of Random Oracles
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ATS
2000
IEEE
98views Hardware» more  ATS 2000»
15 years 5 months ago
Embedded core testing using genetic algorithms
Testing of embedded cores is very difficult in SOC (system-on-a-chip), since the core user may not know the gate level implementation of the core, and the controllability and obse...
Ruofan Xu, Michael S. Hsiao
100
Voted
ESANN
2006
15 years 2 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
ICML
2009
IEEE
15 years 7 months ago
Active learning for directed exploration of complex systems
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
Michael C. Burl, Esther Wang
MOBIHOC
2007
ACM
16 years 10 days ago
A random perturbation-based scheme for pairwise key establishment in sensor networks
A prerequisite for secure communications between two sensor nodes is that these nodes exclusively share a pairwise key. Although numerous pairwise key establishment (PKE) schemes ...
Wensheng Zhang, Minh Tran, Sencun Zhu, Guohong Cao
DASFAA
2010
IEEE
193views Database» more  DASFAA 2010»
14 years 10 months ago
A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm
Sampling streams of continuous data with limited memory, or reservoir sampling, is a utility algorithm. Standard reservoir sampling maintains a random sample of the entire stream a...
Xuesong Lu, Wee Hyong Tok, Chedy Raïssi, St&e...