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» Being Sensitive to Uncertainty
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WSC
1998
13 years 9 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
WSC
1997
13 years 9 months ago
Petri Net Based Simulation of Construction Schedules
Scheduling of a construction project requires: a) hierarchical decomposition of the project; b) incorporation of risk and uncertainty in the activity time and cost estimates; and ...
Anil Sawhney
EOR
2010
87views more  EOR 2010»
13 years 8 months ago
Inventory systems with stochastic demand and supply: Properties and approximations
ic copy available at: http://ssrn.com/abstract=1115410 Inventory Systems with Stochastic Demand and Supply: Properties and Approximations Amanda J. Schmitt Center for Transportatio...
Amanda J. Schmitt, Lawrence V. Snyder, Zuo-Jun Max...
TSP
2008
132views more  TSP 2008»
13 years 8 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
ICPR
2004
IEEE
14 years 9 months ago
A Variational Approach for Color Image Segmentation
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
Nikolaos Nasios, Adrian G. Bors