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NECO
2011
15 years 1 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
SOSP
2001
ACM
16 years 3 months ago
BASE: Using Abstraction to Improve Fault Tolerance
ing Abstraction to Improve Fault Tolerance MIGUEL CASTRO Microsoft Research and RODRIGO RODRIGUES and BARBARA LISKOV MIT Laboratory for Computer Science Software errors are a major...
Rodrigo Rodrigues, Miguel Castro, Barbara Liskov
RAID
2009
Springer
16 years 20 days ago
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
Gabriela F. Cretu-Ciocarlie, Angelos Stavrou, Mich...
SIGMETRICS
2009
ACM
182views Hardware» more  SIGMETRICS 2009»
16 years 19 days ago
The age of gossip: spatial mean field regime
Disseminating a piece of information, or updates for a piece of information, has been shown to benefit greatly from simple randomized procedures, sometimes referred to as gossipi...
Augustin Chaintreau, Jean-Yves Le Boudec, Nikodin ...
CASES
2009
ACM
16 years 20 days ago
Towards scalable reliability frameworks for error prone CMPs
As technology scales and the energy of computation continually approaches thermal equilibrium [1,2], parameter variations and noise levels will lead to larger error rates at vario...
Joseph Sloan, Rakesh Kumar