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» When Is Uncertainty About Uncertainty Worth Characterizing
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JCS
2011
72views more  JCS 2011»
14 years 7 months ago
Automatically deriving information-theoretic bounds for adaptive side-channel attacks
We present a model of adaptive attacks which we combine with information-theoretic metrics to quantify the information revealed to an adaptive adversary. This enables us to expres...
Boris Köpf, David A. Basin
SUM
2009
Springer
15 years 7 months ago
An Analysis of Sum-Based Incommensurable Belief Base Merging
Different methods have been proposed for merging multiple and potentially conflicting informations. Sum-based operators offer a natural method for merging commensurable prioriti...
Salem Benferhat, Sylvain Lagrue, Julien Rossit
AUTOMATICA
2007
145views more  AUTOMATICA 2007»
15 years 25 days ago
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, ...
Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang
BMCBI
2008
105views more  BMCBI 2008»
15 years 24 days ago
A Bayesian method for calculating real-time quantitative PCR calibration curves using absolute plasmid DNA standards
Background: In real-time quantitative PCR studies using absolute plasmid DNA standards, a calibration curve is developed to estimate an unknown DNA concentration. However, potenti...
Mano Sivaganesan, Shawn Seifring, Manju Varma, Ric...
SIAMJO
2011
14 years 3 months ago
Rank-Sparsity Incoherence for Matrix Decomposition
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Pa...