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» Optimizing efficiency of perturbative Monte Carlo method
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UAI
2001
15 years 1 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
IDA
2009
Springer
15 years 6 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...
SIAMIS
2010
141views more  SIAMIS 2010»
14 years 6 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin
ANOR
2008
106views more  ANOR 2008»
14 years 12 months ago
Application of multi-dimensional procurement auction in single-period inventory models
Procurement is one of the major activities in the Manufacturing Resource Planning (MRP II), which is closely coupled with inventory management. Any improvement in this area will h...
Pooya Farahvash, Tayfur Altiok
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
14 years 11 months ago
Search for Dynamic Equilibrium in Duel Problems by Global Optimization
Two examples of open-loop differential games are considered in the paper. Starting with simplified dynamic Duel, further it was developed to differential economic Duel modelling pr...
Raimundas Matulevicius