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NECO
2007
258views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 10 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
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...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
PPOPP
1997
ACM
15 years 8 months ago
LoPC: Modeling Contention in Parallel Algorithms
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...
Matthew Frank, Anant Agarwal, Mary K. Vernon
DAGSTUHL
2006
15 years 5 months ago
A Petri Net Approach to Verify and Debug Simulation Models
Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the ta...
Peter Kemper, Carsten Tepper
IJCV
2008
242views more  IJCV 2008»
15 years 3 months ago
3D Urban Scene Modeling Integrating Recognition and Reconstruction
Supplying realistically textured 3D city models at ground level promises to be useful for pre-visualizing upcoming traffic situations in car navigation systems. Because this previs...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...