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In this paper, we present OCEAn, an ordinal classification algorithm based on an ensemble approach, which makes a final prediction according to a weighted vote ...
In this paper, we present OCEAn, an ordinal classification algorithm based on an ensemble approach, which makes a final prediction according to a weighted vote ...
In this paper, we presente OCEAn, an Ordinal Classification algorithm based on an Ensemble Approach, which makes a final prediction according to a weighted vote ...
Generally, classification problems catalog instances according to their target variable with out considering the relation among the different labels. However, ...
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A novel ensemble approach of ordinal classifiers that includes four soft labelling approaches along with an ordinal logistic regression model.
This study proposes a novel ensemble-based ordinal classification (EBOC) approach which suggests bagging and boosting (AdaBoost algorithm) methods as a ...
We chose classifier ensembles with decision trees, as the base classifiers. In the problem of pixel classification, experimental results demonstrate the ...
Jun 4, 2024 · OCEAn: Ordinal classification with an ensemble approach. Information Sciences 2021; 580: 221-242. https://doi.org/10.1016/j.ins.2021.08.081.
Aug 7, 2020 · In the literature, the most widely used ensemble methods are categorized into four techniques: bagging, boosting, stacking, and voting [35,36].
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Ordinal regression (OR) is a paradigm which learns a prediction model on the data with ordered classes. Despite much progress in OR, the existing OR works ...