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Scenarios 8 11: One PB population was used for training to predict the other PB population.
Logistic regression curves, with 95% confidence intervals, were plotted for each year of training to predict RCPSC exam results based on an individual's ACR score.
Also, we found that COXEN biomarker discovery and modeling training based on monocyte data was more successful to predict risks based on other cell types than other directions, e.g. T-cell data for training to predict the others.
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The first prediction model is trained to predict night time light intensity from source image data.
Then for each cluster, ANN and ANFIS models were trained to predict GL and CC values.
The DNN7 is trained to predict both the static and the dynamic log-magnitude spectra.
Then a Na?ve Bayes classifier is trained to predict trends at the box office.
Valstar et al. [70],2010 SVRs are trained to predict the landmark locations using RoI samples.
The DNN is trained to predict the static, delta, and acceleration features at the same time.
The network was trained to predict the formability index, triaxial stress ratio parameters and axial strain.
Artificial neural networks (ANN) have also been trained to predict AA levels, generally with better results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com