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» Using probabilistic model checking in systems biology
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TACAS
2005
Springer
115views Algorithms» more  TACAS 2005»
16 years 1 days ago
On-the-Fly Reachability and Cycle Detection for Recursive State Machines
Searching the state space of a system using enumerative and on-the-fly depth-first traversal is an established technique for model checking finite-state systems. In this paper, ...
Rajeev Alur, Swarat Chaudhuri, Kousha Etessami, P....
IJCAI
2003
15 years 8 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
COMPSAC
2009
IEEE
16 years 1 months ago
System Safety Requirements as Control Structures
Along with the popularity of software-intensive systems, the interactions between system components and between humans and software applications are becoming more and more complex...
Zhe Chen, Gilles Motet
SBRN
2000
IEEE
15 years 11 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
HYBRID
2010
Springer
16 years 1 months ago
On the connections between PCTL and dynamic programming
Probabilistic Computation Tree Logic (PCTL) is a wellknown modal logic which has become a standard for expressing temporal properties of finite-state Markov chains in the context...
Federico Ramponi, Debasish Chatterjee, Sean Summer...