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» Robustness of the Learning with Errors Assumption
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FMCAD
2009
Springer
13 years 11 months ago
Synthesizing robust systems
—Many specifications include assumptions on the environment. If the environment satisfies the assumptions then a correct system reacts as intended. However, when the environmen...
Roderick Bloem, Karin Greimel, Thomas A. Henzinger...
ICML
2002
IEEE
14 years 5 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock
ML
2002
ACM
140views Machine Learning» more  ML 2002»
13 years 4 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
ALT
2009
Springer
14 years 1 months ago
Error-Correcting Tournaments
We present a family of adaptive pairwise tournaments that are provably robust against large error fractions when used to determine the largest element in a set. The tournaments use...
Alina Beygelzimer, John Langford, Pradeep Ravikuma...
FDTC
2006
Springer
74views Cryptology» more  FDTC 2006»
13 years 8 months ago
Fault Attack Resistant Cryptographic Hardware with Uniform Error Detection
Traditional hardware error detection methods based on linear codes make assumptions about the typical or expected errors and faults and concentrate the detection power towards the ...
Konrad J. Kulikowski, Mark G. Karpovsky, Alexander...