Sentence examples for multiple classifier systems from inspiring English sources

In this paper the performance of several multiple classifier systems are evaluated in terms of their ability to correctly classify consumers as good or bad credit risks.

Classifier selection is an important step in designing multiple classifier systems.

In this paper, an approach to the automatic design of multiple classifier systems is proposed.

Multiple classifier systems combine several individual classifiers to deliver a final classification decision.

In this paper, we propose an approach for text categorization based on Dissimilarity Representation and multiple classifier systems.

Several methodologies exist for creating an ensemble classifier from individual classifiers; a survey on the design of multiple classifier systems can be found in [6].

We propose a multiple classifier system (MCS) to classify breast lesions on dynamic contrast-enhanced MRI (DCE-MRI) combining morphological features and dynamic information.

Multi-source airborne hyperspectral images acquired over five different sites covering a range of land cover categories have been classified by a multiple classifier system and compared against the classification results obtained from support vector machines (SVM).

To utilize these features, a multiple classifier system was imported into this classifier.

This concluded result has also been approved for the supervised multiple classifier system,[14].

In this paper we present a multiple classifier system (MCS) for on-line handwriting recognition.