116 search results - page 12 / 24 » Distributed State Space Generation of Discrete-State Stochas... |
86
Voted
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
VALUETOOLS
2006
ACM
15 years 3 months ago
2006
ACM
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
104
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AIIA
2007
Springer
15 years 3 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
PE
2011
Springer
14 years 4 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
106
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CMG
2003
14 years 11 months ago
2003
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...