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NECO
2011
13 years 2 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
14 years 4 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
14 years 2 months 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»
14 years 2 months 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
14 years 2 months 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