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COLT
1999
Springer
13 years 9 months ago
Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...
Avrim Blum, Adam Kalai, John Langford
SOSP
2007
ACM
14 years 1 months ago
Attested append-only memory: making adversaries stick to their word
Researchers have made great strides in improving the fault tolerance of both centralized and replicated systems against arbitrary (Byzantine) faults. However, there are hard limit...
Byung-Gon Chun, Petros Maniatis, Scott Shenker, Jo...