Sentence examples for ensemble classifier from inspiring English sources

In this study, we present a resampling strategy based Random Forests (RF) ensemble classifier to improve diagnosis of cardiac arrhythmia.

It is known that the methods which use ensemble classifier usually achieve more accurate and robust performance than the methods using single classifier.

After that, machine learning techniques such as data cleaning, dimension reduction, and ensemble classifier were used to prioritize drug pairs bound to a common target.

Finally, the proposed pruning learner with lower error is selected as final ensemble classifier.

This paper proposes a novel Compressed Sensing Ensemble Classifier (CSEC) for human detection.

As a result, the multi-sensor configuration problem is transformed to multiple ensemble classifier pruning problem.

For complicated problems, artificial neural network ensemble classifier, instead of a single ANN classifier, is considered.

Using an ensemble classifier in the wavelet domain, we obtain a sensitivity of 80.8% and specificity of 80%.

Feature selection based on an ensemble classifier has been recognized as a crucial technique for modeling high-dimensional data.

Given the feature sets and the base classifiers, we have developed multiple ensemble classifier compositions under four architectures.

In this paper we present novel ensemble classifier architectures and investigate their influence for offline cursive character recognition.