Sentence examples for models the weights from inspiring English sources

In the case of the ANN models, the weights of the individual models were used for the calculation of the weighted mean value of the weights of the local ensemble model.

In tree biomass models, the weights would typically be proportional to the inverse of, say, DBH j 2 which gives the following weights w j  = TDBH2 × DBH j −2 where TDBH2 is the sum of DBH j 2 over the n trees.

For log-binomial models, the weights used by the IWLS approach contain the term 1/ 1- p), where p = exp (X T β) with a range from 0too 1 [ 19].

For ATT models, the weights are defined as: ω (W, x ) = W ​ + (1 − W ) e ^ (x ) 1 − e ^ (x ) For ATE models, the weights are defined as: ω (W, x ) = W e ^ (x ) + 1 − W 1 − e ^ (x ) where W is the indicator for the treatment, and is equal to 1 for those respondents who were exposed to the treatment, and is equal to 0 for those who were not.

In tree biomass models, the weights would typically be proportional to the inverse of, say, DBH j 2 which gives the following weights w j  = TDBH × DBH j −2 where TDBH is the sum of DBH j 2 over the n trees.

For QSAR models, the weight of a substructure directly correlates with its activity contribution [36].

However, this time we added to the models the weight of the brood mass (instead of the female's body weight) and all interaction terms with the other predictor variables.

In order to use the new statistical model, the weights β and γ must be identified.

For each model, the weights are calculated as the proportion of the B times the model was selected as best in the preceding step.

However, in the GWR model, the weights are determined by location u, which is relative to the observations in the data set, and consequently changes for each location.

In the final model, the weights of selected features were determined that yielded the highest classification accuracy in a balanced subsampling procedure with standard 10-fold cross-validations.