In consideration of the above result, we showed that robust classification models could be applied to cost sensitive learning. The presented model has been ...
Aug 1, 2022 · In this paper, we propose a new robust cost-sensitive support vector machine to simultaneously solve them in a unified framework.
Oct 22, 2024 · Support Vector Machine (SVM) has been widely applied in real application due to its efficient performance in the classification task so that a ...
Jul 4, 2024 · In this paper, we propose a robust Two-Stage instance-level cost-sensitive learning method with the Bounded Quadratic Type Squared Error (BQTSE) loss function, ...
Robust SVM for Cost-Sensitive Learning · List of references · Publications that cite this publication. Multiclass optimal classification trees with SVM-splits.
May 28, 2019 · In this paper, we use a constructive procedure to extend SVM's standard loss function to optimize the classifier with respect to class imbalance or class costs.
Abstract—We introduce confidence-weighted (CW) online learning algorithms for robust, cost-sensitive classification. Our.
This paper proposes a new robust cost-sensitive support vector machine that employs robust statistics and sparse theory to take the sample importance and ...
Sep 25, 2023 · The comprehensive experimental results on various datasets validate that MVQS is more competitive and robust than other benchmark approaches.
Dec 5, 2012 · A new procedure for learning cost-sensitive SVM(CS-SVM) classifiers is proposed. The SVM hinge loss is extended to the cost sensitive setting.
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