Sentence examples for model weights using from inspiring English sources

Once we identified a predictor subset using lasso regression, we refit the nonzero model weights using ordinary least squares regression (i.e., without the weight penalty).

Following our approach, we derived the BMA model weights when using all data or different subsets thereof.

In this paper, we propose to induce context-dependent model weights by using automatically derived phonetic decision 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].

10 For Model 5 we multiplied the two weights used in Models 3 and 4 [ 53]: 11 For each of the Models 1 3 we tested a series of alternative models.

For each model we calculated its model weight and used AIC [34] to identify the most parsimonious model.

The total number of feature weights used in Model 2 is 96,435,808, two orders of magnitude more than in Model 1.

To account for changes in implementation details, the SVM model weights were retrained using the original 5-fold cross-validated ProQM training set (Ray et al., 2010).

The total number of feature weights used in Model 1 is 794,979.

The 54 RRHCV/HIV were pooled using DerSimonian Laird random-effects models with inverse variance weighting using the metan command [ 12].

There was no change in body weight using this model.