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SGAI
2004
Springer
15 years 12 months ago
Exploiting Causal Independence in Large Bayesian Networks
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
Rasa Jurgelenaite, Peter J. F. Lucas
CORR
2008
Springer
106views Education» more  CORR 2008»
15 years 6 months ago
GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries
Resource and cost constraints remain a challenge for wireless sensor network security. In this paper, we propose a new approach to protect confidentiality against a parasitic adver...
Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux
CDC
2008
IEEE
153views Control Systems» more  CDC 2008»
16 years 1 months ago
A stackelberg game for pricing uplink power in wide-band cognitive radio networks
— We study the problem of pricing uplink power in wide-band cognitive radio networks under the objective of revenue maximization for the service provider and while ensuring incen...
Ashraf Al Daoud, Tansu Alpcan, Sachin Kumar Agarwa...
UAI
1996
15 years 8 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
CORR
2010
Springer
92views Education» more  CORR 2010»
15 years 6 months ago
On Network-Error Correcting Convolutional Codes under the BSC Edge Error Model
Convolutional network-error correcting codes (CNECCs) are known to provide error correcting capability in acyclic instantaneous networks within the network coding paradigm under sm...
K. Prasad, B. Sundar Rajan