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In the two examples we evaluated the calibration of the models through both traditional tools and the methodology we are proposing.
This leads to the following definitions: SE = TP / (TP + FN + F P s ) SP = TN / (TN + F P n ) PR = TP / (TP + F P n + F P s ) FM = 2 · PR · SE / (PR + SE ) For all three benchmark examples, we evaluated the inference by those statistical measures showing the reproduction of the system structure and time series by the model.
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Using cubic → cubic and cubic → tetragonal transformations as examples, we evaluate the elastic energy associated with the formation of a nucleus in a pre-existing microstructure.
Through several numerical examples, we evaluate the accuracy and performance of the proposed method.
Through several numerical examples, we evaluate the accuracy and performance of the proposed algorithms.
In our examples, we evaluate the proposed estimation method on the K th order PPS x n = A exp ( j ( a 0 + a 1 n Δ + ⋯ + a K n Δ K ) ), where (n Δ) ∈ [- 1, 1], for K = 2 and 3.
As but one example, we evaluated the Lefschetz number for the relative de Rham cohomology.
For example, we evaluated percent mature pine at 40-, 80-, 120-, 160-, and 200-m radii and selected the scale with the lowest AICc.
In this example, we evaluated NTP's prediction performance in cross-species prediction.
In our example we evaluated only publications published in the peer-reviewed scientific literature.
For example, we evaluated the effect of a specific set of guidelines on return to work after acute myocardial infarction.
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