Sentence examples for identification in terms of from inspiring English sources

In addition, we provide sufficient conditions for point identification in terms of support conditions.

Further analysis of the identification in terms of average treatment effects can be found in Card et al. (2012).

Some comments can be made on the results obtained by dynamic identification in terms of unknown parameters (f_c), (varepsilon _{sh}) and a.

We can now understand this identification in terms of the claim that certain artworks (although of course not those that themselves fall prey to technological thinking) share with traditional artisanship the capacity to realize poiesis.

Beginning with Greek philosophy's equation of the male principle with mind and reason and act, the female principle was associated with the contrasting identification in terms of matter, body, passion and potency.

Computer simulations demonstrate that the performance of the nonlinear filter proposed is superior to the RBF for nonlinear dynamic system identification in terms of convergence speed, steady state error and tracking capability.

Table 6 presents the effects of the developed semi-fragile digital speech watermarking system on the performance of the GMM speaker identification system in terms of recognition rate.

The result also demonstrates that the proposed method is less vulnerable with a smaller number of identification regions in terms of association performance.

Using PCRLB, a systematic procedure is developed to analyse the estimates delivered by Bayesian identification methods in terms of bias, MSE, and efficiency.

Feature selection after data preparation, we select the most contributing features and exclude those that are highly correlated with them in order to improve the driver identification performance in terms of accuracy and speed.

Fig. 7 Comparison of identification accuracy, in terms of a MAP, b MaRR, c TOP10, and d MeanRank, and classification efficiency, in terms of e TNR, f CA, and g ACA, obtained after late fusion based on different learning method combinations on different datasets.