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To take into account the variability of model parameters, an ensemble modeling approach was performed based on which the ratio of the genotype-specific transporter activities was found to be r = 0.265 (CI: (0.263; 0.267)) for simvastatin acid and r = 0.11 (CI: (0.105; 0.118)) for pravastatin.
For determination of model parameters an inverse problem should be resolved and differential evolution (DE) approach is proposed.
After training the articulatory model parameters, an EM-based conversion algorithm converts audio to facial features in a maximum likelihood sense.
In order to identify the model parameters, an analytical deterministic scheme and a practical, "engineering-like", numerical tool, based on a genetic algorithm are developed.
To facilitate using gradient-based methods to search optimal model parameters, an effective numerical method is adapted for evaluating the ISE and its gradient with respect to parameters.
Aiming at estimating the proton exchange membrane fuel cell (PEMFC) model parameters, an adaptive RNA genetic algorithm (ARNA-GA) which is inspired by the mechanism of biological RNA is proposed.
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Furthermore, it requires the knowledge of the noise model parameters (A and Γ).
We usually have some prior information about the model parameters a.
To estimate the model parameters, a Markov-chain Monte Carlo sampling algorithm is developed.
Note that when applying the covariance method to the estimation of the HOLP model parameters, a similar result is obtained.
These observations are then used to evaluate the model parameters a and b in the hypothesis function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com