ensemble
- noun
- /ɑnˈsɑmbl/
- Specialized
- The researchers used an ensemble of different models to enhance the accuracy of their predictions.
- ensemble average
- a large ensemble
And, and so their approach was actually to use an ensemble method.
- And, and so their approach was actually to use an ensemble method.
Examples
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Natural variation is much larger, and the model ensembles smooth such variations out.
Blog text (18) -
The ensemble is a binary logistic regression per answer hypothesis using three features from each inference model.
Academic text (2017) -
Oh, OK, temperature only has meaning when you have an ensemble of particles that are vibrating.
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However, they are more amenable to optimization, and the ensemble of methods may perform better.
Academic text (2017) -
The ensemble learning uses the same training set that the individual closed-form inference models use.
Academic text (2017) -
Instead, they make ensemble forecasts, varying initial conditions and model parameters to create a set of predictions.
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A third approach to making AI systems robust to model incompleteness is to adopt portfolio (or ensemble) methods.
Academic text (2017) -
In this way, each inference model's performance is test-like, and the ensemble model does not overly trust overfit models.
Academic text (2017) -
Encounters with probabilities typically involve abstract ensembles of identical systems or repeatable measurements, with probabilities interpreted as frequency ratios.
Academic text (2003) -
To achieve better results, the team developed an ensemble that combined various machine learning algorithms.
Synonyms
A mixture of things or parts that form one thing
A computer method that uses many simple decision trees and combines their results to make predictions
You train several models on different parts of the data and combine their answers to make predictions more reliable
Combining results from different computer models to make one better result
Antonyms
Idioms
Compounds
How Accurate
- Specialized
Surface Forms
Etymology
Ensemble comes from the French ensemble, which means 'together' and is like the English word assemble. So in machine learning an ensemble is several models put 'together' to give a better, more reliable result.