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transforms ensemble learning into a deterministic problem. For example, within this geometric framework, it can be proved that the averaging of the outputs...

learning, particularly in the creation of artificial neural networks, ensemble averaging is the process of creating multiple models and combining them to produce...

In physics, specifically statistical mechanics, an ensemble (also statistical ensemble) is an idealization consisting of a large number of virtual copies...

Ensemble average is a mean in statistical mechanics. Ensemble average or ensemble averaging may also refer to: Ensemble averaging (machine learning) Process...

observable's ensemble average equals the time average. In this regime, any collection of random samples from a process must represent the average statistical...

physics) Climate ensemble Ensemble average (statistical mechanics) Ensemble averaging (machine learning) Ensemble (fluid mechanics) Ensemble forecasting (meteorology)...

theoretical ideal of an ensemble. It is common to speak of ensemble average or ensemble averaging when considering a fluid mechanical ensemble. For a completely...

{\overline {u_{i}}}} are determined by either time averaging, spatial averaging or ensemble averaging, depending on the flow under study. Further u i ′...

In statistical mechanics, a canonical ensemble is the statistical ensemble that represents the possible states of a mechanical system in thermal equilibrium...

statistical mechanics, the grand canonical ensemble (also known as the macrocanonical ensemble) is the statistical ensemble that is used to represent the possible...

flow and deviations from the mean. The averaging can be done either in space or in time, or by ensemble averaging. Calculation of the mean flow may often...

combining forecasts, forecast averaging or model averaging (in econometrics and statistics) and committee machines, ensemble averaging or expert aggregation (in...

A climate ensemble involves slightly different models of the climate system. The ensemble average is expected to perform better than individual model...

In statistical mechanics, the microcanonical ensemble is a statistical ensemble that represents the possible states of a mechanical system whose total...

\mu _{H}} is a deterministic measure; this is a particular case of self-averaging. The cumulative distribution function of the limiting measure is called...

some function of the ensemble parameters and random variables. Thermodynamic state functions are described by ensemble averages of random variables. The...

Samuelson. There is also a difference between ensemble-averaging (utility calculation) and time-averaging (Kelly multi-period betting over a single time...

combining forecasts, forecast averaging or model averaging (in econometrics and statistics) and committee machines, ensemble averaging or expert aggregation (in...

elementary particles, both for discrete instances and multiple types of ensemble averages. For example, an atom of helium-4 has a mass of 4.0026 Da. This is...

{\displaystyle F} is the ensemble-average of any flow variable, and f ″ {\displaystyle f''} is a perturbation or fluctuation from this average. f ″ {\displaystyle...