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Bayesian hierarchical modelling using all identifiable primary sources.
Age-period-cohort modelling using all the data from 1971 to 2000 indicated that cohort effects were taking place, that is, changes over time were not happening uniformly across the age range.
Similar to our analysis, they used OLS regression modelling, using all individual MSWS-12 item scores (except for item 11, which was removed due to collinearity) to provide the best performing equation (MAE=0.148, RMSE=0.198 and adjusted R=0.361).
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To estimate the ages of the tsunami deposits older than the E3 deposits, the age of each tsunami deposit was modeled using all organic sediment radiocarbon dates.
Growth trajectories were modelled using all available height measurement sources.
Winner-take-all neural networks can be modeled using all-to-all inhibitory connections between the different modules (Houghton and Hartley, 1995).
Winner-take-all neural networks can be modeled using all-to-all inhibitory connections between the different units; however, conceptually, they simply select the most active unit and inhibit the rest (Houghton and Hartley, 1995).
Domain and item level models using all three modelling approaches reached an acceptable degree of predictive performance with domain models performing well in out-of-sample validation.
We developed our model using all detailed time course data available to us for this strain.
We train models using all available examples from ShakeFive2.
Plots are derived by validating a RFR model using all available samples of each study area.
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CEO of Professional Science Editing for Scientists @ prosciediting.com