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UAI
1997
13 years 6 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
ICASSP
2010
IEEE
13 years 4 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
DCOSS
2006
Springer
13 years 8 months ago
COTA: A Robust Multi-hop Localization Scheme in Wireless Sensor Networks
In wireless sensor networks, multi-hop localization schemes are very vulnerable to various attacks such as wormholes and range modification attacks. In this paper, we propose a rob...
Yawen Wei, Zhen Yu, Yong Guan
PODC
2009
ACM
14 years 5 months ago
A distributed polylogarithmic time algorithm for self-stabilizing skip graphs
Peer-to-peer systems rely on scalable overlay networks that enable efficient routing between its members. Hypercubic topologies facilitate such operations while each node only nee...
Riko Jacob, Andréa W. Richa, Christian Sche...
PASTE
2010
ACM
13 years 9 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta