Sentence examples for use of ensemble methods from inspiring English sources

We investigate the use of ensemble methods in the class ofstatic mixture models for speech recognition.

We describe the use of ensemble methods to build models for time series prediction.

The use of ensemble methods for the prediction of number of faults has not been explored so far.

Many works are available on binary class software fault prediction (faulty or non-faulty prediction) using ensemble methods, but the use of ensemble methods for the prediction of number of faults has not been explored so far.

On the other hand, use of ensemble method for software fault prediction can be very effective, as it takes the advantage of different techniques for the given dataset to come up with better prediction results compared to individual technique.

It is aligned to the endeavours of creating tools for forecasting and investment strategies using hybrid techniques, and highlighting the potency of ensemble methods in the financial sector.

The prediction accuracy of ensemble methods is evaluated using absolute error, relative error, prediction at level l, and measure of completeness performance measures.

We use a variant of ensemble method that is a diverse class of methods that seek to combine the decisions of several computational intelligence classifiers in order to improve the performance of the classification task.

Mixture models benefit from the smoothing property of ensemble methods.

Boosting algorithms [9 11] are another family of ensemble methods.

Such work must also be underpinned by improved models of the underlying mechanisms and dynamic processes, ideally using multi-species frameworks that make use of ensemble forecasting methods for improved incorporation of scenario and climate model uncertainty.