Exact(1)
A major challenge of this work was to evaluate a large number of unknown model parameters (precisely a total of 101) with relatively sparse experimental data from in vivo studies on muscle ischemia [22].
Similar(58)
where N, s, and q are model parameters to precisely describe the distribution.
Even though we recommend further research to estimate the model parameters more precisely, we believe that the uncertainty of the results is depicted accurately in our analysis.
These algorithms exhibit good MTT performance only when the model parameters are known precisely.
Due to scarce and imprecise information, the model parameters cannot be specified precisely and are merely known in form of bounds.
However, model parameters may not be precisely represented due to some factors in engineering practices, such as lack of sufficient data, data with fuzziness and unknown or non-constant reproduction conditions.
The uncertainties of the dust model parameters are not yet precisely known.
Based on the tetrakaidecahedron geometry and different strut morphologies of the ceramic foams, we have derived a generalized analytical model that encompasses all geometrical parameters precisely.
The simulations suggest the latent regression model parameters are more accurately and precisely estimated by the behavioral Rasch selection model than by two-stage least squares or the Tobit selection model.
This motivates the term ℋ x = g κ δ C a 2 ∑ s ∇ 2 h, with the sum over all lattice sites, δ C ∼ 10m− the difference in the spontaneous curvature between Lo and Ld domains (Leibler and Andelman, 1987; Liu et al., 2005; Schick, 2012), and g > 0 the dimensionless parameter introduced previously to reflect the fact that the model parameters are not known very precisely.
The ML method cannot precisely estimate the model parameters when the training data are sparse and their size is small.
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