Sentence examples for multiple component classifiers from inspiring English sources

The principle of AdaBoost is to linearly combine multiple component classifiers into ensemble classifier.

One of the main questions examined is whether and when to use a single classifier or a combination of a number of component classifiers within a multiple classifier system.

Moreover, Wickramaratna et al. [2001. Performance degradation in boosting. In: Proceedings of the Second International Workshop on Multiple Classifier Systems, pp. 11 21] show that AdaBoost with strong component classifiers is not viable.

In general, the ensemble classifier that integrates multiple basic classifiers of diverse learning policies can perform better than its component classifiers [ 25]. (4) The method did not deal with the serious class imbalance problem, which would lead to high prediction accuracy for the majority class but poor prediction accuracy for the minority class [ 26].

The Adaboost usually combines linear classifiers as component classifiers.

An ensemble classifier is acquired based on majority voting among component classifiers.

Different values of parameters will get different component classifiers, resulting in different performance of the ensemble classifier.

Right now, desserts with multiple components are the standard.

Rosenberg's argument has multiple components.

The performance of the ensemble classifier depends on the parameters value of each component classifier.

In this part, RBFSVM classifier was employed as component classifier in AdaBoost.