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» Modeling Dependable Systems using Hybrid Bayesian Networks
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EWSN
2008
Springer
14 years 7 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
HICSS
2006
IEEE
261views Biometrics» more  HICSS 2006»
14 years 1 months ago
e-Risk Management with Insurance: A Framework Using Copula Aided Bayesian Belief Networks
: e-business organizations are heavily dependent on distributed 24X7 robust information computing systems, for their daily operations. To secure distributed online transactions, th...
Arunabha Mukhopadhyay, Samir Chatterjee, Debashis ...
ACMSE
2005
ACM
13 years 9 months ago
Simulating application level self-similar network traffic using hybrid heavy-tailed distributions
Many networking researches depend on an accurate simulation of network traffic. For example, Intrusion Detection Systems generally require tuning to be effective in each new envir...
Song Luo, Gerald A. Marin
GLOBECOM
2010
IEEE
13 years 5 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
UAI
2001
13 years 8 months ago
Exact Inference in Networks with Discrete Children of Continuous Parents
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
Uri Lerner, Eran Segal, Daphne Koller