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» Dependence Modeling for Stochastic Simulation
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Publication
281views
15 years 8 months ago
Modeling Image Textures by Gibbs Random Fields
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
Georgy Gimel'farb
HIPC
1999
Springer
14 years 1 months ago
Stochastic Modeling of TCP/IP over Random Loss Channels
An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented that is based on a semi-Markov model for the window ...
Alhussein A. Abouzeid, Murat Azizoglu, Sumit Roy
COORDINATION
2009
Springer
14 years 1 days ago
From Coordination to Stochastic Models of QoS
Abstract. Reo is a channel-based coordination model whose operational semantics is given by Constraint Automata (CA). Quantitative Constraint Automata extend CA (and hence, Reo) wi...
Farhad Arbab, Tom Chothia, Rob van der Mei, Sun Me...
ATAL
2005
Springer
14 years 2 months ago
A simulator for multi-agent partnership formation based on dependence graphs
The PartNET++ system is an experimental multi-agent-based simulation tool that uses a new model based on hyper-graphs for understanding partnership formation among heterogeneous a...
Júlio de Lima do Rêgo Monteiro, Jaime...
JMLR
2010
150views more  JMLR 2010»
13 years 3 months ago
Approximate parameter inference in a stochastic reaction-diffusion model
We present an approximate inference approach to parameter estimation in a spatio-temporal stochastic process of the reaction-diffusion type. The continuous space limit of an infer...
Andreas Ruttor, Manfred Opper