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AUSAI
2006
Springer
15 years 6 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
WSC
2008
15 years 4 months ago
Simulation as a tool for life cycle cost analysis
Life cycle cost is an essential approach to decide on alternative rehabilitation strategies for infrastructure systems. Monte Carlo simulation approach is used to develop a stocha...
Khaled Shahata, Tarek Zayed
110
Voted
EOR
2006
68views more  EOR 2006»
15 years 2 months ago
Evaluation of time-varying availability in multi-echelon spare parts systems with passivation
The popular models for repairable item inventory, both in the literature as well as practical applications, assume that the demands for items are independent of the number of work...
Hoong Chuin Lau, Huawei Song, Chuen Teck See, Siew...
99
Voted
SIAMMAX
2010
105views more  SIAMMAX 2010»
14 years 9 months ago
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
So Yeon Chun, A. Shapiro
SIAMNUM
2010
105views more  SIAMNUM 2010»
14 years 9 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami