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ANSS
2006
IEEE
14 years 5 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
PE
2008
Springer
109views Optimization» more  PE 2008»
13 years 11 months ago
A conditional probability approach to M/G/1-like queues
Following up on a recently renewed interest in computational methods for M/G/1-type processes, this paper considers an M/G/1-like system in which the service time distribution is ...
Alexandre Brandwajn, Hongyun Wang
CCE
2008
13 years 11 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
EOR
2002
73views more  EOR 2002»
13 years 10 months ago
Stochastic conditional and unconditional warfare
This article constructs a foundation for warfare at the individual level, where agents in two groups fire and absorb shots according to a non-stationary Poisson process. We determ...
Kjell Hausken, John F. Moxnes
ICDAR
2009
IEEE
13 years 8 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...