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This algorithm utilises a probabilistic model based on stochastic context free grammar and secondary structure-based filtering systems (SCFG).
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Here, we develop a new methodology based on stochastic context-free grammars (SCFGs), which are well-suited to modeling tree-like structure of the RDS recruitment process.
These two programs should predict fRNAs independently because EvoFold utilizes a functional RNA model based on stochastic context-free grammars while RNAz primarily utilizes thermodynamic information to predict RNA secondary structures (while also considering covariance between secondary structures in a multi-species alignment).
The characteristics of our baseline epidemics were consistent with other simulations based on stochastic individual-based models, specifically [7] [11].
NORMA is based on stochastic gradient descent.
Reliability analysis is based on stochastic discrete event models like stochastic Petri nets.
Our mechanism is based on stochastic datagram relocation.
The algorithm is developed based on stochastic finite-element method.
KF technique makes predictions based on stochastic and dynamic structures.
The solution method is based on stochastic successive linear programming.
Computational models, routinely based on stochastic optimization, support these decisions.
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