Sentence examples for model estimates from from inspiring English sources

We build an SVM model based on process and noise model estimates from training data to predict the occurrence of MPM in the testing data.

Operational dynamic parameters obtained through auto-regressive moving average model estimates from machining tests under stable and unstable conditions was used to characterise the performance.

The predictive power (PP) measures the distance of model estimates from the actual data against the actual data, is as follows: begin{aligned} hbox {PP}=sum limits _{i=1}^n {left( {frac{hat{m}(t_i )-y_i }{y_i }}right) ^2}.

The predictive power (PP) measures the distance of the model estimates from the actual data against the actual data, which is defined as [34]: begin{aligned}mathrm{{PP}}=mathop sum limits _{i=1}^n left( frac{hat{m} ( {t_i } -y_i } -y_i}{y_it) ^2.

The predictive-ratio risk (PRR) represents the distance of the model estimates from the actual data against the model estimates and is defined as [33]: begin{aligned} mathrm{{PRR}}=mathop sum limits _{i=1}^n left( frac{hat{m} ( {t_i } -y_i } -y_im}{hat{mi })}right) ^2.

The predictive power (PP) measures the distance of model estimates from the actual data against the actual data, is as follows: begin{aligned} mathrm{PP}=sum limits _{i=1}^n {left( {frac{hat{m}(t_i )-y_i }{y_i }}right) ^2} end{aligned} (13 For all these three criteria MSE, PRR, and PP the smaller the value, the better the model fits, relative to other models run on the same data set.

The latest model estimated from this method had an epoch of 2009 .17

All the experiments used a phone bigram language model estimated from the training data.

Thereby, a nonlinear model estimated from the direct path is extrapolated to the entire acoustic echo path.

We verified our model, estimated from the vertical deformation detected by leveling data, using horizontal deformation detected by GNSS.

Comparisons between candidate models are also often made with respect to their differences from the mean model estimated from the K candidate models.