Sentence examples for model averaging the from inspiring English sources

As one example, the ensemble learner can be estimated simply by model averaging the base learners, { f s (x ) } 1 S.

The most important explanatory variables were determined by selecting the top most plausible models which fell within 2.5 AICc of the best model and model averaging the top models using the MuMIn library (Barton 2013) as described by Grueber et al. (2011).

The analyses were performed in R [ 11] using the lm and step functions and, for Bayesian model averaging, the bic.glm function in the BMA package [ 13, 14].

With Bayesian model averaging, the posterior distributions of population history parameters are integrated across a set of microsatellite models and thus account for model uncertainty.

After model averaging, the FCF content during the mating season was higher for females/cubs than for lone females (β = 2.77, σ = 1.36, p = 0.042), but not different from adult males (β = 2.79, σ = 1.6, p = 0.082).

This in turn means that multiple models with high predictive power are explored and, due to the employed model averaging, the predictive power of a large set of individual models is combined into one single prediction.

The historic model averaged the number of subsidy eligible animals and hectares for each farm in the years 2000, 2001 and 2002.

Models averaging the predictions from two (or eventually more) composite models will be referred to as "consensus models".

For the Bayesian model averaging methods, the chain length was 160,000 iterations, with the first 50,000 excluded as the burn-in period.

In model averaging all the models are updated independently based on the short-time measurements.

To address this problem of selecting "the" model, Bayesian model averaging (BMA) averages the effect estimates across all possible models weighted by the model posterior probabilities [ 45, 46].