Sentence examples for trained and optimized from inspiring English sources

To achieve the highest sensitivity at the predefined specificity of 99.5%, the weights were trained and optimized using the Powell optimization method.

Next, we test the different pose normalization techniques on the lateral sequences with the classifier trained and optimized for frontal sequences.

Using the P RMSD, P ΔS, and P Geom calculated from known disulfide bonds as variables, the prediction model was trained and optimized by implementing the Support Vector Machine method (SVM) (Lin and Chang 2011).

Taking into account the great symptomatic variability in HD patients, different sets of biomarkers can be further trained and optimized, depending on the disease stage that is most prominent in the group of patients included in each study.

Pluto can determine 50-70 percent of plant failures because it has been trained and optimized for water data.

The self-organized Kohonen networks are trained and optimized using filtered hydrographic data to cluster the incoming data streams.

We use data assimilation methods, as commonly employed in numerical weather prediction, in conjunction with real-time observations of influenza incidence to train and optimize model simulations of influenza transmission dynamics on the fly and then use those optimized models to generate real-time forecasts of influenza outcomes.

In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks.

In the above example, developers can import the PyTorch-based CNN model in Apache MXNet and use it for inference without the need to train and optimize the model.

All those parameters were combined into a weighted scoring algorithm where machine learning and data mining of the structures deposited in Protein Data Bank (PDB) were used to train and optimize the weighting scheme.

Once more MS/MS spectra become available and corresponding structural diversity increases, these can be used to train and optimize in silico algorithms which will lead to better performance [30].