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» Stochastic Analysis of Dynamic Processes
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NIPS
2007
14 years 11 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
77
Voted
NC
2010
150views Neural Networks» more  NC 2010»
14 years 8 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
CDC
2009
IEEE
123views Control Systems» more  CDC 2009»
15 years 1 months ago
Dealing with stochastic reachability
Abstract— For stochastic hybrid systems, stochastic reachability is very little supported mainly because of complexity and difficulty of the associated mathematical problems. In...
Manuela L. Bujorianu
EPEW
2006
Springer
15 years 1 months ago
A Precedence PEPA Model for Performance and Reliability Analysis
We propose new techniques to simplify the computation of the cycle times and the absorption times for a large class of PEPA models. These techniques allow us to simplify the model ...
Jean-Michel Fourneau, Leïla Kloul
HYBRID
2004
Springer
15 years 3 months ago
Dynamic Partitioning of Large Discrete Event Biological Systems for Hybrid Simulation and Analysis
Abstract. Biological systems involving genetic reactions are large discrete event systems, and often contain certain species that occur in small quantities, and others that occur i...
Natasha A. Neogi