Sentence examples for estimated learning from inspiring English sources

Moreover, under a recent European Commission scenario and using estimated learning rates for wind power and the combined cycle gas turbine (CCGT), wind power gains considerable competitive ground due to international technology learning impacts.

Estimated marginal means represent the estimated learning gains for each class after statistically controlling for the effect of pretest scores.

The results show positive effects on the involvement, motivation and learning perception but not on performance improvement, suggesting that future research should address the effects of self-regulating feedback on the estimated learning from objective measurements and should expand the studies of the effects of these practices on the immediate and future self-regulating capacity.

On the contrary, the estimated learning rates were lower in the last part of the blocks (Fig. 6).

First, the slope is obtained for the observed firing rates at trials preceding the estimated learning trial.

To determine whether the firing rate of a neuron exhibits a significant trend of change before the estimated learning trial, Poisson regression fits of second (Figs. 2A, 7A) and first (Figs. 2B, 7D) order polynomials are fit to the data as a function of trial number at trials before the estimated learning trial.

To estimate learning outcomes regarding student affect and behavioral engagement.

} end{aligned} (12 However, each state estimates learning parameters with different functions for (eta (t)) and (sigma (t)).

The previous metrics (overline{qe}(t)) and (overline{lambda }(t)) are both weighed in a drift function that is used by the UbiSOM to estimate learning parameters.

Both metrics are weighed in a drift function that gives an overall indication of the performance of the map over the data stream, used to estimate learning parameters.

We extend our previous work by improving the overall algorithm with the use of a drift function to estimate learning parameters, that weighs the previous average quantization error and a new introduced metric: the average neuron utility.