Sentence examples for model parameter selection from inspiring English sources

Model parameter selection will become increasingly automated — model deployment entirely so.

AZOrange makes extensive use of automated model parameter selection to tune the machine learning algorithms for individual data sets.

For model parameter selection purposes, the objective function needs to quantify the difference in generalization accuracy when varying the model parameter settings.

The expert system technology is successfully integrated into the system to provide help for model parameter selection or model selection, and to make the numerical model system more accessible for non-expert users.

Multivariate analysis logistic regression was also applied with model parameter selection based on Bayesian information (Raftery, 1995).

The SVM models were validated by using a bootstrap replacement procedure coupled with cross-validation for the model parameter selection (see below).

This model includes parameter selection from a large sample, depletion rate of remaining resources, constraint of oil reserves and cycle number determination, not only to better fit curves but to strengthen the forecast capacity of model.

All that is required is a slight chance of undergoing a symmetric division (selection model parameter = 0.0059, selection model with cell death value = 0.011).

In our simulations, a weak proliferative advantage (selection model parameter = 0.0059, selection model with cell death value = 0.011) was sufficient to drive the clonal expansion and account for the mutant clusters seen in the 80-year-old male we studied.

Furthermore, we observed that the Gaussian mixture model and the parameter selection used in VQSR are not ideal for modeling these features and proposed to use a boosting method that uses generalized linear models as its base learners.

The customization and the automated model hyper-parameter selection provide the tools necessary for automated model development, batch generation of models and the assessment of multiple model hypothesis.