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- W4360764679 abstract "The use of dynamic selection techniques in classifier ensembles, for attributes or member selection, has appeared in several studies in the literature as a mechanism to increase accuracy of classifier ensembles. In order to present an efficient classification structure, in this paper, we propose an automatic decision process to select the best classification structure for a testing instance. In order to do this, the decision process is capable of defining if a testing instance should be classified by a dynamic classifier ensemble (result of the integrated dynamic technique) or by a single classifier. The empirical analysis presents a substantial decrease in the processing time without deteriorating the performance of the classifier ensembles of the proposed technique." @default.
- W4360764679 created "2023-03-25" @default.
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- W4360764679 date "2022-12-01" @default.
- W4360764679 modified "2023-10-16" @default.
- W4360764679 title "An exploratory analysis of a dynamic ensemble structure using an automatic decision process" @default.
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- W4360764679 doi "https://doi.org/10.1109/icmla55696.2022.00144" @default.
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