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» Dependence Modeling for Stochastic Simulation
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GIS
2002
ACM
13 years 8 months ago
Calibration of stochastic cellular automata: the application to rural-urban land conversions
Despite the recognition of cellular automata (CA) as a exible and powerful tool for urban growth simulation, the calibration of CA had been largely heuristic until recent eVorts to...
Fulong Wu
ICGI
1998
Springer
14 years 1 months ago
Learning Stochastic Finite Automata from Experts
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
Colin de la Higuera
WSC
2008
13 years 11 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
WSC
2004
13 years 10 months ago
Airport Terminal-Approach Safety and Capacity Analysis Using an Agent-Based Model
The consistent growth of air traffic demand is causing the operational volumes at hub airports to approach their maximum capacities. With this growth, delays are increasing, and s...
Yue Xie, John Shortle, George Donohue
JSW
2007
94views more  JSW 2007»
13 years 8 months ago
Scoop Methodology: Modeling, Simulation And Analysis For Cooperative Systems
Abstract— In this paper, we present our methodology proposal for cooperative remote systems modeling. Its aim is to develop models of existing or planned cooperative systems. The...
David Saint-Voirin, Christophe Lang, Hervé ...