Sentence examples for model parameter dataset from inspiring English sources

With the tuned controller parameters and reduced-order model parameter dataset, optimum tuning rules have been developed with a test-bench of higher-order processes via genetic programming (GP).

Our results suggest that error remains in branch length estimation, both dependent on and independent of substitution model parameter misestimation, given dataset sizes comparable to many empirical studies.

This process repeatedly samples, with replacement, samples of datasets from the original dataset and reestimates model parameters in each resampled dataset.

The confidence command computes confidence interval bounds for the specified model parameters in the dataset.

We used Mr. Bayes version 3.1 [44] to simultaneously estimate tree topology and optimize model parameters for the dataset.

The fitting procedures described below returned estimates of all model parameters for each dataset along with 95% confidence intervals.

The method assumes a linear model, whereby the absolute value of each model parameter is used to train the dataset to generate importance of each input variable.

In this thesis we utilize previously developed generative models of V(D J recombination events, and infer the model parameters from large datasets of DNA sequences.

This approach ensures that the hierarchical clustering procedure is as accurate as possible, given the limitations of estimating model parameters from finite datasets.

PhyML was used to analyse the dataset and model parameters were estimated from the original dataset.

Model parameter estimates were based on Surveillance Epidemiology and End Results (SEER) cancer registry datasets and validated on screening trials.