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WSC
2004
13 years 6 months ago
Simulation Input Updating Using Bayesian Techniques
Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as ...
Tae Hwan Chung, Yasser Mohamed, Simaan M. AbouRizk
ICTAI
2006
IEEE
13 years 11 months ago
Belief Update in Bayesian Networks Using Uncertain Evidence
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
Rong Pan, Yun Peng, Zhongli Ding
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
12 years 5 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
13 years 11 months ago
Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
Corey Powell, Joshua M. Stuart
WSC
2001
13 years 6 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson