Reported results on the classification of different data sets show that dynamic classifier selection based on MCS behaviour is an effective operation mechanism ...
Reported results on the classification of different data sets show that dynamic classifier selection based on MCS behaviour is an effective operation mechanism ...
In this paper, a DCS algorithm based on the MCS behaviour is presented. The proposed method is aimed to exploit the behaviour of the MCS in order to select, for ...
This paper is aimed to provide a theoretical framework for dynamic classifier selection and to define the assumptions under which it can be expected to ...
Multiple classifier systems (MCSs) based on the combination of a set of different classifiers are currently used to achieve high pattern-recognition ...
Oct 22, 2024 · A novel framework based on the multi-label classification for dynamic selection of classifiers. Article. Full-text available. Jan 2023.
Multiple classifier systems (MCSs) based on the combination of a set of different classifiers are currently used to achieve high pattern-recognition ...
Oct 22, 2024 · Reported results on the classification of different data sets show that dynamic classifier selection based on MCS behaviour is an effective ...
Apr 25, 2021 · Conversely, when using dynamic selection, the selection of classifiers is performed for each new test sample in the classification phase.
Missing: Behaviour. | Show results with:Behaviour.
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This work presents a literature review of multiple classifier systems based on the dynamic selection of classifiers.