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Discover LudwigThe phrase "multiple classifier system" is grammatically correct and can be used in written English.
It refers to a system or method that uses more than one classifier or decision-making algorithm to classify data or make predictions. Example: "The researchers implemented a multiple classifier system to accurately predict the financial performance of different companies based on their past data."
Exact(20)
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).
In this paper we present a multiple classifier system (MCS) for on-line handwriting recognition.
Various versions of cross-validation and resampling techniques, leading to generation of a single classifier or a multiple classifier system, are scrutinised and compared.
In this paper, we present an approach to analysing breast thermograms based on image features and a hybrid multiple classifier system.
Image classification by multiple classifier system has been evolving as a promising method for enhancing accuracy and reliability of image classification.
Similar(40)
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.
An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems.
Classifier selection is an important step in designing multiple classifier systems.
Multiple classifier systems combine several individual classifiers to deliver a final classification decision.
In this paper, an approach to the automatic design of multiple classifier systems is proposed.
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