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SIGSOFT
2009
ACM
16 years 3 months ago
Probabilistic environments in the quantitative analysis of (non-probabilistic) behaviour models
System specifications have long been expressed through automata-based languages, enabling verification techniques such as model checking. These verification techniques can assess ...
Esteban Pavese, Sebastián Uchitel, Ví...
TACAS
2004
Springer
111views Algorithms» more  TACAS 2004»
15 years 8 months ago
Automatic Creation of Environment Models via Training
Abstract. Model checking suffers not only from the state-space explosion problem, but also from the environment modeling problem: how can one create an accurate enough model of the...
Thomas Ball, Vladimir Levin, Fei Xie
SPIN
2004
Springer
15 years 8 months ago
Directed Error Detection in C++ with the Assembly-Level Model Checker StEAM
Most approaches for model checking software are based on ration of abstract models from source code, which may greatly reduce the search space, but may also introduce errors that a...
Peter Leven, Tilman Mehler, Stefan Edelkamp
BMCBI
2010
175views more  BMCBI 2010»
15 years 3 months ago
Global parameter estimation methods for stochastic biochemical systems
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
Suresh Kumar Poovathingal, Rudiyanto Gunawan
TNN
1998
111views more  TNN 1998»
15 years 2 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos