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JSS
2007
109views more  JSS 2007»
13 years 7 months ago
Using Bayesian belief networks for change impact analysis in architecture design
Research into design rationale in the past has focused on argumentation-based design deliberations. These approaches cannot be used to support change impact analysis effectively ...
Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han
JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
UAI
2004
13 years 9 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
DASFAA
2007
IEEE
175views Database» more  DASFAA 2007»
14 years 1 months ago
Bayesian Reasoning for Sensor Group-Queries and Diagnosis
As large-scale sensor networks are being deployed with the objective of collecting quality data to support user queries and decision-making, the role of a scalable query model beco...
Ankur Jain, Edward Y. Chang, Yuan-Fang Wang
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 ...