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» On detectability of stochastic systems
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NN
2002
Springer
208views Neural Networks» more  NN 2002»
15 years 6 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
FMICS
2009
Springer
15 years 10 months ago
On a Uniform Framework for the Definition of Stochastic Process Languages
In this paper we show how Rate Transition Systems (RTSs) can be used as a unifying framework for the definition of the semantics of stochastic process algebras. RTSs facilitate the...
Rocco De Nicola, Diego Latella, Michele Loreti, Mi...
CPAIOR
2008
Springer
15 years 8 months ago
Gap Reduction Techniques for Online Stochastic Project Scheduling
Anticipatory algorithms for online stochastic optimization have been shown very effective in a variety of areas, including logistics, reservation systems, and scheduling. For such ...
Grégoire Dooms, Pascal Van Hentenryck
ENTCS
2006
151views more  ENTCS 2006»
15 years 6 months ago
Stochastic Simulation Methods Applied to a Secure Electronic Voting Model
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
Jeremy T. Bradley, Stephen T. Gilmore
IJBRA
2006
111views more  IJBRA 2006»
15 years 6 months ago
Memory efficient alignment between RNA sequences and stochastic grammar models of pseudoknots
: Stochastic Context-Free Grammars (SCFG) has been shown to be effective in modelling RNA secondary structure for searches. Our previous work (Cai et al., 2003) in Stochastic Paral...
Yinglei Song, Chunmei Liu, Russell L. Malmberg, Co...