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IJON
2006
82views more  IJON 2006»
13 years 7 months ago
Modeling single neuron behavior using stochastic differential equations
We model the intrinsic dynamic behavior of a neuron using stochastic differential equations and Brownian motion. Basis of our work is the deterministic one-compartmental multi-con...
Antti Saarinen, Marja-Leena Linne, Olli Yli-Harja
IJCAI
2003
13 years 9 months ago
Scenario-based Stochastic Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number ...
Suresh Manandhar, Armagan Tarim, Toby Walsh
JCST
2010
153views more  JCST 2010»
13 years 2 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
DLOG
2006
13 years 9 months ago
Model checking the basic modalities of CTL with Description Logic
Abstract. Model checking is a fully automated technique for determining whether the behaviour of a finite-state reactive system satisfies a temporal logic specification. Despite th...
Shoham Ben-David, Richard J. Trefler, Grant E. Wed...
ENTCS
2007
119views more  ENTCS 2007»
13 years 7 months ago
Interpolant Learning and Reuse in SAT-Based Model Checking
Bounded Model Checking (BMC) is one of the most paradigmatic practical applications of Boolean Satisfiability (SAT). The utilization of SAT in model checking has allowed signifi...
João Marques-Silva