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In the case of classification, predictions are generated by averaging probability estimates, no by voting.

Computational predictions are generated using the high temperature kinetic models of Sarathy et al. (2012) and Merchant et al. (2013).

For example, we find a drop in the overall score of nearly 35% when predictions are generated two timesteps (i.e. two weeks) in advance when compared to one.

Predictions are generated using a numerical mode matching approach for axially uniform defects, and a hybrid finite element based method for non-uniform defects.

Second, the random forest algorithm for quantile regression introduced in [9] produces the same tree structure as the usual random forest algorithm and only changes the way in which predictions are generated for the leaf nodes.

Therefore, compared with the traditional BCM, the new BCM is more sensitive to the perturbed performance of the component predictors and can adjust their credits more rapidly, and better predictions are generated as a result.

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However, for 3liz, 3jr9, 3zkm and 3r1g, which have >300 residues, reasonable epitope predictions were generated, suggesting that the method retains a degree of predictive power even for larger antigens.

The model predictions were generated from the color-object association data shown in Fig. 4.

Production predictions were generated by the network for all locations at which seismic attributes were available.

Predictions were generated for the compounds in the WOMBAT database using a model created solely on activity data from ChEMBL.

Additional predictions were generated, using the William Landel Ferry time-temperature empirical relations, for material performance at temperatures above and below the reference temperature range.

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