41938 search results - page 468 / 8388 » Complex Systems Modeling |
162
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
161
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SKG
2006
IEEE
16 years 26 days ago
2006
IEEE
Upper bound constraints are often set when complex scientific or business processes are modelled as grid workflow specifications. However, many existing processes such as climate ...
185
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ICIP
2005
IEEE
16 years 13 days ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
182
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
The well-known problem of state space explosion in model checking is even more critical when applying this technique to programming languages, mainly due to the presence of complex...
203
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ISPAN
1999
IEEE
15 years 11 months ago
1999
IEEE
Parallel simulationhas the potentialto accelerate the execution of simulation applications. However, developing a parallel discrete-event simulation from scratch requires an in-de...