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» Dependence Modeling for Stochastic Simulation
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DSS
2007
94views more  DSS 2007»
15 years 4 months ago
A formal modeling approach for supply chain event management
: As supply chains become more dynamic it is important to be able to model them formally as business processes. In particular, there is a need for a sense and respond capability to...
Rong Liu, Akhil Kumar, Wil M. P. van der Aalst
SIAMAM
2008
93views more  SIAMAM 2008»
15 years 4 months ago
Mutually Exclusive Spiky Pattern and Segmentation Modeled by the Five-Component Meinhardt--Gierer System
We consider the five-component Meinhardt-Gierer model for mutually exclusive patterns and segmentation which was proposed in [11]. We prove rigorous results on the existence and st...
Juncheng Wei, Matthias Winter
IJON
2002
78views more  IJON 2002»
15 years 4 months ago
External termination of recurrent bursting in a model of connected local neural sub-networks
Epileptic seizures are characterized by repetitive synchronous neuronal bursting activity. To study external influences on this activity, a simple model of a chain loop of neurona...
Pawel Kudela, Piotr J. Franaszczuk, Gregory K. Ber...
ICCBR
2009
Springer
15 years 11 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
WSC
2007
15 years 6 months ago
New greedy myopic and existing asymptotic sequential selection procedures: preliminary empirical results
Statistical selection procedures can identify the best of a finite set of alternatives, where “best” is defined in terms of the unknown expected value of each alternative’...
Stephen E. Chick, Jürgen Branke, Christian Sc...